The number of scholarly documents on the public web

Automatic Path-Planning Techniques for Minimally Invasive Stereotactic Neurosurgical Procedures-A Systematic Review

This review systematically examines the recent research from the past decade on diverse path-planning algorithms tailored for stereotactic neurosurgery applications. Our comprehensive investigation involved a thorough search of scholarly papers from Google Scholar, PubMed, IEEE Xplore, and Scopus, utilizing stringent inclusion and exclusion criteria. The screening and selection process was meticulously conducted by a multidisciplinary team comprising three medical students, robotic experts with specialized knowledge in path-planning techniques and medical robotics, and a board-certified neurosurgeon. Each selected paper was reviewed in detail, and the findings were synthesized and reported in this review. The paper is organized around three different types of intervention tools: straight needles, steerable needles, and concentric tube robots. We provide an in-depth analysis of various path-planning algorithms applicable to both single and multi-target scenarios. Multi-target planning techniques are only discussed for straight tools as there is no published work on multi-target planning for steerable needles and concentric tube robots. Additionally, we discuss the imaging modalities employed, the critical anatomical structures considered during path planning, and the current status of research regarding its translation to clinical human studies. To the best of our knowledge and as a conclusion from this systematic review, this is the first review paper published in the last decade that reports various path-planning techniques for different types of tools for minimally invasive neurosurgical applications. Furthermore, this review outlines future trends and identifies existing technology gaps within the field. By highlighting these aspects, we aim to provide a comprehensive overview that can guide future research and development in path planning for stereotactic neurosurgery, ultimately contributing to the advancement of safer and more effective neurosurgical procedures.

Access to evidence-based care: a systematic review of trauma and surgical literature costs across resource settings

Background

Evidence-based medicine has become the foundation for surgeons around the world to provide the most effective surgical care. However, the article processing charges (APCs) and subscription fees for surgical journals may be a barrier, particularly for those in low-income and middle-income countries (LMICs).

Objectives

The objective of this study was to define the current options for producers and consumers of surgical literature, inclusive of trauma, across resource settings.

Data sources

The Web of Science Core Collection database.

Study appraisal and synthesis methods

A complete list of journals publishing surgical content between 2019 and 2020 was compiled. The most frequently indexed journals were reviewed using the individual journal websites to extract the type of access (ie, open, closed, hybrid), impact factors, publication languages, APCs, subscription pricing, and any discounts listed.

Results

The literature search revealed 4759 unique journals. The 500 most frequently indexed were reviewed. The mean APC for a fully open access surgical journal was US$1574 and for a hybrid surgical journal was US$3338. The average costs for a 1-year subscription in a hybrid surgical journal were US$434 and US$1878 for an individual and institution, respectively. When considering purchasing power parity, APCs and subscription costs ranged from 2 to 15 times more expensive in LMICs when compared with those in the USA.

Limitations

Primary search term was in English only, and only peer-reviewed journal articles were reviewed.

Conclusions or implications of key findings

Although initiatives exist to support peer-reviewed journals in LMICs, there is an exorbitant cost for authors in these countries, as well as those in high-income countries that are not affiliated with a large institution, to either publish in, or access, a majority of surgical journals. Efforts to lower the overall cost of publishing must be made to provide greater access to medical literature.

PROSPERO registration number

CRD4202140227.

Level of evidence

Level IV.

The evolution of same-sex sexual behaviour in mammals

Same-sex sexual behaviour has attracted the attention of many scientists working in disparate areas, from sociology and psychology to behavioural and evolutionary biology. Since it does not contribute directly to reproduction, same-sex sexual behaviour is considered an evolutionary conundrum. Here, using phylogenetic analyses, we explore the evolution of same-sex sexual behaviour in mammals. According to currently available data, this behaviour is not randomly distributed across mammal lineages, but tends to be particularly prevalent in some clades, especially primates. Ancestral reconstruction suggests that same-sex sexual behaviour may have evolved multiple times, with its appearance being a recent phenomenon in most mammalian lineages. Our phylogenetically informed analyses testing for associations between same-sex sexual behaviour and other species characteristics suggest that it may play an adaptive role in maintaining social relationships and mitigating conflict.

The Long-Term Effects of Living in a Shared and Continuous Traumatic Reality: The Case of Israeli Families on the Border With Gaza

This article presents a literature review of the concept of intergenerational transmission of traumatic stress among a specific population of Israeli parents and children living near the Israeli/Gaza border, an area that can essentially be viewed as a laboratory of shared, continuous, and stressful reality resulting from ongoing political violence. The Google Scholar database was used to search only for peer-reviewed articles written in English and published between 2002 and 2020, and the particular focus of the study was Israeli families living in the "Gaza envelope": communities that have been on the receiving end of rockets and mortars from Gaza for the past 20 years. The review was based on 35 articles and sheds light on the existence of studies using a variety of perspectives (e.g., psychological, biopsychosocial, and behavioral). Findings demonstrate the effects of continuous stress situations on the family dynamic, even before birth, among this small population. In addition, they show that to understand the unique process of intergenerational trauma transmission in a shared continuous traumatic reality, it is important to adopt a comprehensive perspective so as to understand the reciprocal, long-lasting, and transgenerational effects of being exposed to traumatic stress. This perspective can be used as a basis for developing family intervention strategies that are appropriate for preventing stress outcomes that derive from living in the context of persistent violence.

CORE: A Global Aggregation Service for Open Access Papers

This paper introduces CORE, a widely used scholarly service, which provides access to the world's largest collection of open access research publications, acquired from a global network of repositories and journals. CORE was created with the goal of enabling text and data mining of scientific literature and thus supporting scientific discovery, but it is now used in a wide range of use cases within higher education, industry, not-for-profit organisations, as well as by the general public. Through the provided services, CORE powers innovative use cases, such as plagiarism detection, in market-leading third-party organisations. CORE has played a pivotal role in the global move towards universal open access by making scientific knowledge more easily and freely discoverable. In this paper, we describe CORE's continuously growing dataset and the motivation behind its creation, present the challenges associated with systematically gathering research papers from thousands of data providers worldwide at scale, and introduce the novel solutions that were developed to overcome these challenges. The paper then provides an in-depth discussion of the services and tools built on top of the aggregated data and finally examines several use cases that have leveraged the CORE dataset and services.

Data, measurement and empirical methods in the science of science

The advent of large-scale datasets that trace the workings of science has encouraged researchers from many different disciplinary backgrounds to turn scientific methods into science itself, cultivating a rapidly expanding 'science of science'. This Review considers this growing, multidisciplinary literature through the lens of data, measurement and empirical methods. We discuss the purposes, strengths and limitations of major empirical approaches, seeking to increase understanding of the field's diverse methodologies and expand researchers' toolkits. Overall, new empirical developments provide enormous capacity to test traditional beliefs and conceptual frameworks about science, discover factors associated with scientific productivity, predict scientific outcomes and design policies that facilitate scientific progress.

Building an annotated corpus for automatic metadata extraction from multilingual journal article references

Bibliographic references containing citation information of academic literature play an important role as a medium connecting earlier and recent studies. As references contain machine-readable metadata such as author name, title, or publication year, they have been widely used in the field of citation information services including search services for scholarly information and research trend analysis. Many institutions around the world manually extract and continuously accumulate reference metadata to provide various scholarly services. However, manually collection of reference metadata every year continues to be a burden because of the associated cost and time consumption. With the accumulation of a large volume of academic literature, several tools, including GROBID and CERMINE, that automatically extract reference metadata have been released. However, these tools have some limitations. For example, they are only applicable to references written in English, the types of extractable metadata are limited for each tool, and the performance of the tools is insufficient to replace the manual extraction of reference metadata. Therefore, in this study, we focused on constructing a high-quality corpus to automatically extract metadata from multilingual journal article references. Using our constructed corpus, we trained and evaluated a BERT-based transfer-learning model. Furthermore, we compared the performance of the BERT-based model with that of the existing model, GROBID. Currently, our corpus contains 3,815,987 multilingual references, mainly in English and Korean, with labels for 13 different metadata types. According to our experiment, the BERT-based model trained using our corpus showed excellent performance in extracting metadata not only from journal references written in English but also in other languages, particularly Korean. This corpus is available at http://doi.org/10.23057/47.

The Impacts of Colony Cages on the Welfare of Chickens Farmed for Meat

There is growing interest in keeping meat chickens in modern colony cages (CCs) rather than conventional litter-floor barns. Suggested welfare improvements for chickens in such systems include reduced bodily lesions due to lower contact with flooring contaminated with faeces and urine, due to slatted flooring and automated faeces removal. This systematic review sought to determine the animal welfare impacts of CCs using slatted flooring, in comparison to litter-based non-cage systems. Overall, 23 relevant studies were retrieved. From one perspective, the extant research appeared mixed. Fifteen (65%) of these 23 studies identified some form of welfare concern about slatted floors, and thus CCs. Yet, when considering actual welfare indicators assessed, the tallies generated in favour of each housing system were similar. Crucially however, there were incomplete behavioural welfare measures in 100% of the empirical studies reviewed. Accordingly, significant welfare concerns exist about CCs, centring around behavioural deprivation. Given that over 70 billion chickens are farmed then slaughtered each year globally, widespread implementation of CCs would create a major animal welfare concern. Instead of implementing such CC systems, research and development is recommended into improving welfare outcomes of conventional litter barns using different forms of commercially feasible enrichment. As a minimum, a full behavioural analysis, as detailed in the Welfare Quality Assessment protocols, should form a mandatory part of any future studies aimed at assessing the welfare impacts of housing systems on farmed chickens.

Spin of information and inconsistency between abstract and full text in RCTs investigating upper limb rehabilitation after stroke: An overview study

BACKGROUND

Researchers may be tempted to favorably distort the interpretation of their findings when reporting the abstract (i.e., spin). Spin bias overemphasizes the beneficial effects of the intervention compared with the results shown in the full text.

OBJECTIVE

To assess the occurrence of spin bias and incompleteness in reporting abstracts in post-stroke upper limb (UL) rehabilitation randomized clinical trials (RCTs).

METHODS

A sample of 120 post-stroke UL rehabilitation RCTs (indexed in PEDro database), published in English between 2012 and 2020, was included. The completeness of reporting and spin were assessed using the Consolidated Standards of Reporting Trials for Abstracts (CONSORT-A) and the spin checklist. The relationship between CONSORT-A and spin checklist scores with RCT and journal characteristics was assessed.

RESULTS

CONSORT-A and spin checklist scored 5.3±2.4 (max 15-points, higher scores indicating better reporting) and 5.5±2.0 (max 7-points, higher scores indicating presence of spin), respectively; Significant differences were detected between abstract and full-text scores in the CONSORT-A checklist (p < 0.01) and the spin checklist (p < 0.01). Items of the CONSORT-A checklist in the abstracts and full text showed a fair agreement (k = 0.31), while a moderate agreement (k = 0.59) for the spin checklist was detected. Completeness of abstract was associated (R2 = 0.46) with journal Impact Factor (p < 0.01), CONSORT Guideline endorsement (p = 0.04), and abstract word number (p = 0.02). A lower spin was associated with a higher journal Impact Factor (p = 0.01) and CONSORT Guideline endorsement (p = 0.01).

CONCLUSIONS

Post-stroke UL rehabilitation RCTs abstracts were largely incomplete showing spin. Authors, reviewers, publishers, and stakeholders should be aware of this phenomenon. Publishers should consider allowing more words in abstracts to improve the completeness of reporting abstracts. Although we have investigated only stroke rehabilitation, our results suggest that health care professionals of all disciplines should avoid clinical decision-making based solely upon abstracts.

Social Life Cycle Assessments: A Review on Past Development, Advances and Methodological Challenges

Society’s interest in social impacts of products, services and organizational behaviors is rapidly growing. While life cycle assessments to evaluate environmental stressors have generally been well established in many industries, approaches to evaluate social impacts such as Social Life Cycle Assessment (S-LCA) lack methodological consistency and standardization. The aim of this paper is to identify past developments and methodological barriers of S-LCA and to summarize how the automotive industry contributed to the advancement or application of this method. Therefore, a qualitative content analysis of 111 studies published between 2015 and 2020 is used to gather information on past scientific and political milestones, methodological barriers impeding S-LCA and the participation of the automotive sector. The review shows that a broad range of sectors such as the automotive industry contributed to the testing and advancement of S-LCA in the past but that S-LCA remains a young and immature method. Large-scale application is impeded by major barriers such as the variety of impact categories and sub-categories, the lacking integration of the Sustainable Development Goals (SDGs), issues of linking LCA structures to social phenomena or the difficult tracking of social impact pathways. Further research on standardization possibilities, the connection to political social targets and the testing of methods is necessary to overcome current barriers and increase the applicability and interpretability results.

An exploratory analysis: extracting materials science knowledge from unstructured scholarly data

Purpose

The output of academic literature has increased significantly due to digital technology, presenting researchers with a challenge across every discipline, including materials science, as it is impossible to manually read and extract knowledge from millions of published literature. The purpose of this study is to address this challenge by exploring knowledge extraction in materials science, as applied to digital scholarship. An overriding goal is to help inform readers about the status knowledge extraction in materials science.

Design/methodology/approach

The authors conducted a two-part analysis, comparing knowledge extraction methods applied materials science scholarship, across a sample of 22 articles; followed by a comparison of HIVE-4-MAT, an ontology-based knowledge extraction and MatScholar, a named entity recognition (NER) application. This paper covers contextual background, and a review of three tiers of knowledge extraction (ontology-based, NER and relation extraction), followed by the research goals and approach.

Findings

The results indicate three key needs for researchers to consider for advancing knowledge extraction: the need for materials science focused corpora; the need for researchers to define the scope of the research being pursued, and the need to understand the tradeoffs among different knowledge extraction methods. This paper also points to future material science research potential with relation extraction and increased availability of ontologies.

Originality/value

To the best of the authors’ knowledge, there are very few studies examining knowledge extraction in materials science. This work makes an important contribution to this underexplored research area.

Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks

Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category classification is a prerequisite for bibliometric studies, organizing scientific publications for domain knowledge extraction, and facilitating faceted searches for digital library search engines. Unfortunately, many academic papers do not have such information as part of their metadata. Most existing methods for solving this task focus on unsupervised learning that often relies on citation networks. However, a complete list of papers citing the current paper may not be readily available. In particular, new papers that have few or no citations cannot be classified using such methods. Here, we propose a deep attentive neural network (DANN) that classifies scholarly papers using only their abstracts. The network is trained using nine million abstracts from Web of Science (WoS). We also use the WoS schema that covers 104 subject categories. The proposed network consists of two bi-directional recurrent neural networks followed by an attention layer. We compare our model against baselines by varying the architecture and text representation. Our best model achieves micro-F1 measure of 0.76 with F1 of individual subject categories ranging from 0.50 to 0.95. The results showed the importance of retraining word embedding models to maximize the vocabulary overlap and the effectiveness of the attention mechanism. The combination of word vectors with TFIDF outperforms character and sentence level embedding models. We discuss imbalanced samples and overlapping categories and suggest possible strategies for mitigation. We also determine the subject category distribution in CiteSeerX by classifying a random sample of one million academic papers.

Making it stick: use of active learning strategies in continuing medical education

BACKGROUND

Despite the known benefits of active learning (AL), the predominate educational format in higher education is the lecture. The reasons for slow adaptation of AL in medical education are not well understood. The purpose of this survey was to determine knowledge, usage, attitudes, and barriers to AL use in academic Continuing Medical Education (CME).

METHOD

A 20-item questionnaire was developed and sent with a link to an online questionnaire to the Society of Academic Continuing Medical Education (SACME) listserv of ~ 350 professionals representing academic medical centers, teaching hospitals, and medical specialty societies in the United States (U.S.) and Canada. Responses were collected with SurveyMonkey® from October-November, 2019. Data were analyzed using SPSS®.

RESULTS

Responses from 146 SACME members in 91 CME units yielded a ~ 42% survey response rate. Many respondents reported their self-perceived knowledge of AL as high. Advanced training (e.g., certificate, Master of Education degree) was positively correlated with AL knowledge. AL methods were reportedly used in half of the CME activities in the majority (80%) of institutions. Higher levels of self-perceived knowledge were correlated with an increased percentage of AL-related CME activities. Commonly perceived barriers to use of AL were presenters' lack of familiarity and a need for more time-consuming preparation.

CONCLUSIONS

More efforts are needed to increase innovation and incorporate evidence-based AL strategies in medical education, especially to foster learner engagement, critical thinking, and problem-solving ability.

On the use of computer-assistance to facilitate systematic mapping

The volume of published academic research is growing rapidly and this new era of "big literature" poses new challenges to evidence synthesis, pushing traditional, manual methods of evidence synthesis to their limits. New technology developments, including machine learning, are likely to provide solutions to the problem of information overload and allow scaling of systematic maps to large and even vast literatures. In this paper, we outline how systematic maps lend themselves well to automation and computer-assistance. We believe that it is a major priority to consolidate efforts to develop and validate efficient, rigorous and robust applications of these novel technologies, ensuring the challenges of big literature do not prevent the future production of systematic maps.

Development of a knowledge translation platform for ataxia: Impact on readers and volunteer contributors

BACKGROUND

Dissemination of accurate health research information to patients and families has become increasingly important with the rise of the internet as a means of finding health information. However, the public faces several barriers to accessing research information, including paywalls and technical jargon. One method to bridge this gap between patients, families, and research is using lay summaries. SCAsource is an online knowledge translation platform where peer-reviewed research papers on ataxia are translated into lay summaries. This online platform was launched in September 2018, with the goal of making ataxia research more accessible and understandable to patients and families. A secondary goal is to provide opportunities for ataxia researchers to develop and hone their knowledge translation skills, altogether improving the quality of patient communication in the ataxia community.

AIM

The aim of this study was to measure the impact of SCAsource on its readers and volunteer contributors after one year of activity. This is to ensure SCAsource is meeting its goals of (1) improving access and understanding of ataxia research to lay audiences, and (2) improving knowledge translation skills of volunteer contributors.

METHODS

Two online surveys were launched, one for readers and one for volunteers. Each survey had a combination of multiple-choice, Likert-scale type, and open-ended short-answer questions. Descriptive quantitative analysis was used for respondent characteristics and Likert-type data. A grounded theory coding approach was used to analyze narrative feedback data.

RESULTS

We found that SCAsource has mutually beneficial outcomes for both lay person readers and volunteer contributors. Readers have an increased understanding of ataxia research and access to up-to-date information on recent publications. Volunteers develop knowledge translation skills and have increased confidence in communicating results to lay audiences. Areas of improvement were identified to be incorporated into the platform.

CONCLUSION

We demonstrated that SCAsource improves access to information and understanding of research to lay audiences, while providing opportunities for researchers to develop knowledge translation skills. This framework can potentially be used by other rare disease organizations to launch and evaluate their own knowledge translation websites.

Variations of mixed methods reviews approaches: A case study

Conducting mixed methods reviews is challenging. The aim of this article is to describe a range of rationales for and approaches to mixed methods reviews, with a particular focus on one research group. A case study was conducted to describe the mixed methods review process used at the Department of Health and Social Care Reviews Facility in England. The case study used document analysis. A total of 30 mixed methods reviews were identified and analyzed. The analysis revealed five key dimensions on which the reviews varied: review questions and purposes of the mixed methods questions, types of evidence and sources, reasons for using a mixed methods approach, synthesis methods and designs, and integration strategies. The questions in the included reviews addressed stakeholders' views, and intervention processes and/or intervention effectiveness. The mixed methods questions addressed four different purposes: comparing findings, identifying critical intervention features, quantifying effects, and making recommendations. Five main sources of evidence were used: formal evidence from primary studies, informal evidence, policy documents, systematic reviews, and work with stakeholders. Twelve reasons for conducting mixed methods reviews were identified: completeness, contextual understanding, credibility, different research questions, diversity of views, enhancement, explanation, process, triangulation, utility, development of a framework, and identification of promising interventions. Each review employed one or several integration strategies for comparing findings, connecting phases and/or assimilating data. It is hoped that the information garnered from this study will provide useful insights into mixed method review diversity and trigger new ideas for conducting this type of review.

Why we like Google Scholar: postgraduate students' perceptions of factors influencing their intention to use

Purpose

This study examines the use of the search engine, Google Scholar, from the perspective of a specific study group, that of international postgraduate students. Based on the theory of task perceived performance and effort expectancy influencing intention to use, further factors of system, individual, social and organisational, in the postgraduate student context are explored.

Design/methodology/approach

The questionnaire for the measurement of 11 factors was developed from related studies of e-library use, and data were collected from 200 international postgraduate students studying in the UK. Analysis using confirmatory factor analysis established the contextual influencing factors, and structural equation modeling examined the predicted model.

Findings

The findings confirmed the influence of the task-based factors of performance and expectancy and revealed that these were based on the perception of the visibility, accessibility and relevance of the system, and on perceived self-efficacy. The perception postgraduates held of themselves as competent users of Google Scholar was further borne out in the participants' own words when asked for the reason for their preference.

Originality/value

The approach taken enables research into use of search tools to go beyond ease of use as a main driver and to explore the relationship held among the internal and external influences of use. Recommendations for further user research are suggested as well as possible impact on the university library provision and support of services for students.

Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data

Background

Quantifying the burden of multimorbidity for healthcare research using administrative data has been constrained. Existing measures incompletely capture chronic conditions of relevance and are narrowly focused on risk-adjustment for mortality, healthcare cost or utilization. Moreover, the measures have not undergone a rigorous review for how accurately the components, specifically the International Classification of Diseases, Ninth Revision (ICD-9) codes, represent the chronic conditions that comprise the measures. We performed a comprehensive, structured literature review of research studies on the accuracy of ICD-9 codes validated using external sources across an inventory of 81 chronic conditions. The conditions as a weighted measure set have previously been demonstrated to impact not only mortality but also physical and mental health-related quality of life.

Methods

For each of 81 conditions we performed a structured literature search with the goal to identify 1) studies that externally validate ICD-9 codes mapped to each chronic condition against an external source of data, and 2) the accuracy of ICD-9 codes reported in the identified validation studies. The primary measure of accuracy was the positive predictive value (PPV). We also reported negative predictive value (NPV), sensitivity, specificity, and kappa statistics when available. We searched PubMed and Google Scholar for studies published before June 2019.

Results

We identified studies with validation statistics of ICD-9 codes for 51 (64%) of 81 conditions. Most of the studies (47/51 or 92%) used medical chart review as the external reference standard. Of the validated using medical chart review, the median (range) of mean PPVs was 85% (39–100%) and NPVs was 91% (41–100%). Most conditions had at least one validation study reporting PPV ≥70%.

Conclusions

To help facilitate the use of patient-centered measures of multimorbidity in administrative data, this review provides the accuracy of ICD-9 codes for chronic conditions that impact a universally valued patient-centered outcome: health-related quality of life. These findings will assist health services studies that measure chronic disease burden and risk-adjust for comorbidity and multimorbidity using patient-centered outcomes in administrative data.

Three Commonly Utilized Scholarly Databases and a Social Network Site Provide Different, But Related, Metrics of Pharmacy Faculty Publication

Scholarly productivity is a critical component of pharmacy faculty effort and is used for promotion and tenure decisions. Several databases are available to measure scholarly productivity; however, comparisons amongst these databases are lacking for pharmacy faculty. The objective of this work was to compare scholarly metrics from three commonly utilized databases and a social networking site focused on data from research-intensive colleges of pharmacy and to identify factors associated with database differences. Scholarly metrics were obtained from Scopus, Web of Science, Google Scholar, and ResearchGate for faculty from research-intensive (Carnegie Rated R1, R2, or special focus) United States pharmacy schools with at least two million USD in funding from the National Institutes of Health. Metrics were compared and correlations were performed. Regression analyses were utilized to identify factors associated with database differences. Significant differences in scholarly metric values were observed between databases despite the high correlations, suggestive of systematic variation in database reporting. Time since first publication was the most common factor that was associated with database differences. Google Scholar tended to have higher metrics than all other databases, while Web of Science had lower metrics relative to other databases. Differences in reported metrics between databases are apparent, which may be attributable to the time since first publication and database coverage of pharmacy-specific journals. These differences should be considered by faculty, reviewers, and administrative staff when evaluating scholarly performance.

Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources

Rigorous evidence identification is essential for systematic reviews and meta-analyses (evidence syntheses) because the sample selection of relevant studies determines a review's outcome, validity, and explanatory power. Yet, the search systems allowing access to this evidence provide varying levels of precision, recall, and reproducibility and also demand different levels of effort. To date, it remains unclear which search systems are most appropriate for evidence synthesis and why. Advice on which search engines and bibliographic databases to choose for systematic searches is limited and lacking systematic, empirical performance assessments. This study investigates and compares the systematic search qualities of 28 widely used academic search systems, including Google Scholar, PubMed, and Web of Science. A novel, query-based method tests how well users are able to interact and retrieve records with each system. The study is the first to show the extent to which search systems can effectively and efficiently perform (Boolean) searches with regards to precision, recall, and reproducibility. We found substantial differences in the performance of search systems, meaning that their usability in systematic searches varies. Indeed, only half of the search systems analyzed and only a few Open Access databases can be recommended for evidence syntheses without adding substantial caveats. Particularly, our findings demonstrate why Google Scholar is inappropriate as principal search system. We call for database owners to recognize the requirements of evidence synthesis and for academic journals to reassess quality requirements for systematic reviews. Our findings aim to support researchers in conducting better searches for better evidence synthesis.

Analysis of the quality of online resources for parents of children who are late to talk

Background and aims

Internet usage worldwide has become a primary source of health-related information and an important resource for parents to find advice on how to promote their child's development and well-being. It is important that healthcare professionals understand what information is available to parents online to best support families and children. The current study evaluated the quality of online resources accessible for parents of children who are late to talk.

Method

Fifty-four web pages were evaluated for their usability and reliability using the LIDA instrument and Health on the Net Foundation code of conduct certification, and readability using the Flesch Reading Ease Score and Flesch-Kincaid Grade Level. Origin, author(s), target audience, topics discussed, terminology used, and recommendations were also examined.

Results

The majority of websites scored within the moderate range (50-90%) for total LIDA scores and usability, but scored in the low range for reliability (<50%). Significantly higher reliability scores (p < 0.001) were found for sites with Health on the Net Foundation code of conduct certification. Readability fell within the standard range. The largest proportion of websites were American, written by speech-language pathologists, with the most common topics being milestones, tips and strategies, and red flags. Discrepancies were mostly seen in terminology and misinformation, and when present, usually related to risk factors and causes.

Conclusion

Prior to recommending websites to parents, health professionals should consider readability of the content, check that information is up-to-date, and confirm website sources and reputable authorship. Health professionals should also be aware of the types of unclear or inaccurate information to which parents of children who are late to talk may be exposed online.

Extracting scientific trends by mining topics from Call for Papers

Purpose

The purpose of this paper is to present a novel approach for mining scientific trends using topics from Call for Papers (CFP). The work contributes a valuable input for researchers, academics, funding institutes and research administration departments by sharing the trends to set directions of research path.

Design/methodology/approach

The authors procure an innovative CFP data set to analyse scientific evolution and prestige of conferences that set scientific trends using scientific publications indexed in DBLP. Using the Field of Research code 804 from Australian Research Council, the authors identify 146 conferences (from 2006 to 2015) into different thematic areas by matching the terms extracted from publication titles with the Association for Computing Machinery Computing Classification System. Furthermore, the authors enrich the vocabulary of terms from the WordNet dictionary and Growbag data set. To measure the significance of terms, the authors adopt the following weighting schemas: probabilistic, gram, relative, accumulative and hierarchal.

Findings

The results indicate the rise of “big data analytics” from CFP topics in the last few years. Whereas the topics related to “privacy and security” show an exponential increase, the topics related to “semantic web” show a downfall in recent years. While analysing publication output in DBLP that matches CFP indexed in ERA Core A* to C rank conference, the authors identified that A* and A tier conferences not merely set publication trends, since B or C tier conferences target similar CFP.

Originality/value

Overall, the analyses presented in this research are prolific for the scientific community and research administrators to study research trends and better data management of digital libraries pertaining to the scientific literature.

Advances in Retrieval and Dissemination of Medical Information

In recent years, there has been a dramatic change in how information can be disseminated in the scientific world. This is especially true for health care in general, and exotic pet practice hardly makes an exception. From the constant growth of online repositories that archives scholarly articles such as PubMed, to the creation of hashtags specific for health care that can be followed by millions of persons, we need to understand that communication is changing and that the proper use of modern technologies may result in an unprecedented era for knowledge retrieval and dissemination.

Imaging of the Spine: A Bibliometric Analysis of the 100 Most-Cited Articles

STUDY DESIGN

A bibliometric review of the literature.

OBJECTIVE

The aim of this study was to identify the most highly cited articles relating to imaging of the spine and to analyze the most influential papers and evolving trends in spinal imaging research.

SUMMARY OF BACKGROUND DATA

Spinal imaging is being performed with increasing frequency and is an essential step in the diagnosis and treatment planning of spinal pathology. A comprehensive review of the most influential articles in spinal imaging has not been performed, until now.

METHODS

A selection of search terms and keywords were inputted into the "Web of Science" database and the most highly cited articles in spinal imaging were selected from high impact factor journals. The top 100 articles were analyzed for year of publication, authorship, publishing journals, institution and country of origin, subject matter, article type, and level of evidence. In addition to total citation count, the number of annual citations was also calculated. Citation counts from Scopus and Google Scholar were also obtained for comparison across other citation index platforms.

RESULTS

The most highly cited articles in spinal imaging were published over 30 years, between 1983 and 2013. Total citation count ranged from 98 to 1243 with annual citation count ranging from 3.8 to 91.8. The greatest number of highly cited articles was produced in the United States (n = 49), involved magnetic resonance (n = 73) or multimodal (n = 17) imaging and focused on the lumbar spine (n = 42). The journals that contributed the most articles were Spine and Radiology each publishing 26 articles.

CONCLUSION

Our study provided an extensive list of the most historically significant spinal imaging articles, acknowledging the key contributions made to the advancement of this specialist field.

LEVEL OF EVIDENCE

5.

Innate Immunity and Alcohol

The innate immunity has evolved during millions of years, and thus, equivalent or comparable components are found in most vertebrates, invertebrates, and even plants. It constitutes the first line of defense against molecules, which are either pathogen-derived or a danger signal themselves, and not seldom both. These molecular patterns are comprised of highly conserved structures, a common trait in innate immunity, and constitute very potent triggers for inflammation mediated via extracellular or intracellular pattern recognition receptors. Human culture is often interweaved with the consumption of alcohol, in both drinking habits, its acute or chronical misuse. Apart from behavioral effects as often observed in intoxicated individuals, alcohol consumption also leads to immunological modulation on the humoral and cellular levels. In the last 20 years, major advances in this field of research have been made in clinical studies, as well as in vitro and in vivo research. As every physician will experience intoxicated patients, it is important to be aware of the changes that this cohort undergoes. This review will provide a summary of the current knowledge on the influence of alcohol consumption on certain factors of innate immunity after a hit, followed by the current studies that display the effect of alcohol with a description of the model, the mode of alcohol administration, as well as its dose. This will provide a way for the reader to evaluate the findings presented.

PaperBot: open-source web-based search and metadata organization of scientific literature

Background

The biomedical literature is expanding at ever-increasing rates, and it has become extremely challenging for researchers to keep abreast of new data and discoveries even in their own domains of expertise. We introduce PaperBot, a configurable, modular, open-source crawler to automatically find and efficiently index peer-reviewed publications based on periodic full-text searches across publisher web portals.

Results

PaperBot may operate stand-alone or it can be easily integrated with other software platforms and knowledge bases. Without user interactions, PaperBot retrieves and stores the bibliographic information (full reference, corresponding email contact, and full-text keyword hits) based on pre-set search logic from a wide range of sources including Elsevier, Wiley, Springer, PubMed/PubMedCentral, Nature, and Google Scholar. Although different publishing sites require different search configurations, the common interface of PaperBot unifies the process from the user perspective. Once saved, all information becomes web accessible allowing efficient triage of articles based on their actual relevance and seamless annotation of suitable metadata content. The platform allows the agile reconfiguration of all key details, such as the selection of search portals, keywords, and metadata dimensions. The tool also provides a one-click option for adding articles manually via digital object identifier or PubMed ID. The microservice architecture of PaperBot implements these capabilities as a loosely coupled collection of distinct modules devised to work separately, as a whole, or to be integrated with or replaced by additional software. All metadata is stored in a schema-less NoSQL database designed to scale efficiently in clusters by minimizing the impedance mismatch between relational model and in-memory data structures.

Conclusions

As a testbed, we deployed PaperBot to help identify and manage peer-reviewed articles pertaining to digital reconstructions of neuronal morphology in support of the NeuroMorpho.Org data repository. PaperBot enabled the custom definition of both general and neuroscience-specific metadata dimensions, such as animal species, brain region, neuron type, and digital tracing system. Since deployment, PaperBot helped NeuroMorpho.Org more than quintuple the yearly volume of processed information while maintaining a stable personnel workforce.

Caminhos legais e ilegais para o Acesso Aberto: uma exploração de controvérsias

Resumo O compartilhamento não consentido de artigos científicos gera controvérsias óbvias entre os atores que violam direitos autorais e as editoras comerciais, titulares desses direitos. No entanto, o acontecimento também gera implicações no próprio Movimento Open Access, que, tradicionalmente, defende que a retirada das barreiras aos artigos seja feita exclusivamente por vias legais. Nesta comunicação, exploram-se as controvérsias ligadas ao compartilhamento não consentido de obras científicas protegidas por direitos autorais. O objetivo deste texto é demonstrar a existência desse debate público, indicando as disputas por espaço e as narrativas correspondentes. Debate-se, assim, a possível crise gerada no Movimento Open Access em função de o recente avanço das iniciativas ilegais promover acesso a quase toda a literatura científica existente.

Defining Data Science by a Data-Driven Quantification of the Community

Data science is a new academic field that has received much attention in recent years. One reason for this is that our increasingly digitalized society generates more and more data in all areas of our lives and science and we are desperately seeking for solutions to deal with this problem. In this paper, we investigate the academic roots of data science. We are using data of scientists and their citations from Google Scholar, who have an interest in data science, to perform a quantitative analysis of the data science community. Furthermore, for decomposing the data science community into its major defining factors corresponding to the most important research fields, we introduce a statistical regression model that is fully automatic and robust with respect to a subsampling of the data. This statistical model allows us to define the ‘importance’ of a field as its predictive abilities. Overall, our method provides an objective answer to the question ‘What is data science?’.

Discipline-specific open access publishing practices and barriers to change: an evidence-based review

Background: Many of the discussions surrounding Open Access (OA) revolve around how it affects publishing practices across different academic disciplines. It was a long-held view that it would be only a matter of time before all disciplines fully and relatively homogeneously implemented OA. Recent large-scale bibliometric studies show, however, that the uptake of OA differs substantially across disciplines. We aimed to answer two questions: First, how do different disciplines adopt and shape OA publishing practices? Second, what discipline-specific barriers to and potentials for OA can be identified? Methods: In a first step, we identified and synthesized relevant bibliometric studies that assessed OA prevalence and publishing patterns across disciplines. In a second step, and adopting a social shaping of technology perspective, we studied evidence on the socio-technical forces that shape OA publishing practices. We examined a variety of data sources, including, but not limited to, publisher policies and guidelines, OA mandates and policies and author surveys. Results: Over the last three decades, scholarly publishing has experienced a shift from "closed" access to OA as the proportion of scholarly literature that is openly accessible has increased continuously. Estimated OA levels for publication years after 2010 varied between 29.4% and 66%. The shift towards OA is uneven across disciplines in two respects: first, the growth of OA has been uneven across disciplines, which manifests itself in varying OA prevalence levels. Second, disciplines use different OA publishing channels to make research outputs OA. Conclusions: We conclude that historically rooted publishing practices differ in terms of their compatibility with OA, which is the reason why OA can be assumed to be a natural continuation of publishing cultures in some disciplines, whereas in other disciplines, the implementation of OA faces major barriers and would require a change of research culture.

Discipline-specific open access publishing practices and barriers to change: an evidence-based review

Background: Many of the discussions surrounding Open Access (OA) revolve around how it affects publishing practices across different academic disciplines. It was a long-held view that it would be only a matter of time before all disciplines fully and relatively homogeneously implemented OA. Recent large-scale bibliometric studies show, however, that the uptake of OA differs substantially across disciplines. We aimed to answer two questions: First, how do different disciplines adopt and shape OA publishing practices? Second, what discipline-specific barriers to and potentials for OA can be identified?

Methods: In a first step, we identified and synthesized relevant bibliometric studies that assessed OA prevalence and publishing patterns across disciplines. In a second step, and adopting a social shaping of technology perspective, we studied evidence on the socio-technical forces that shape OA publishing practices. We examined a variety of data sources, including, but not limited to, publisher policies and guidelines, OA mandates and policies and author surveys.

Results: Over the last three decades, scholarly publishing has experienced a shift from “closed” access to OA as the proportion of scholarly literature that is openly accessible has increased continuously. Estimated OA levels for publication years after 2010 varied between 29.4% and 66%. The shift towards OA is uneven across disciplines in two respects: first, the growth of OA has been uneven across disciplines, which manifests itself in varying OA prevalence levels. Second, disciplines use different OA publishing channels to make research outputs OA.

Conclusions: We conclude that historically rooted publishing practices differ in terms of their compatibility with OA, which is the reason why OA can be assumed to be a natural continuation of publishing cultures in some disciplines, whereas in other disciplines, the implementation of OA faces major barriers and would require a change of research culture.

Scientific impact increases when researchers publish in open access and international collaboration: A bibliometric analysis on poverty-related disease papers

BACKGROUND

The European & Developing Countries Clinical Trials Partnership (EDCTP), like many other research funders, requires its grantees to make papers available via open access (OA). This article investigates the effect of publishing in OA journals and international collaboration within and between European and sub-Saharan African countries on citation impact and likelihood of falling into the top 1% and top 10% most cited papers in poverty-related disease (PRD) research.

METHODS

Disease-specific research publications were identified in the Web of Science™ and MEDLINE using Medical Subject Heading (MeSH) terms. Data on the open accessibility of scientific literature were derived from 1science oaFindr. Publication data, including relative citation counts, were extracted for 2003-2015. Regression models were applied to quantify the relationship between relative citations and presence in the 1% and top 10% most cited papers versus OA and international collaboration.

RESULTS

The results show that since 2003 papers on PRDs have become increasingly available in OA. Among all PRD areas, malaria research is most frequently published in OA and in international collaboration. The adjusted regression analyses show that holding other factors constant, publishing research in OA and in international collaboration has a significant and meaningful citation advantage over non-OA or non-international collaborative research. Publishing papers as part of a European-wide or European- sub-Saharan African collaboration increases research impact. In contrast, such collaboration advantage is not observed for research output involving sub-Saharan Africa only which seems to decrease research impact.

CONCLUSIONS

Our results indicate that there is a real, measurable citation advantage for publishing PRD research in OA and international collaboration. However, the international collaboration advantage seems to be region-specific with increased research impact for European-wide and European-sub-Saharan African collaborations but a decrease in research impact of collaborations confined to sub-Saharan African research institutions. Further research is required to further verify this finding and to understand the underlying factors related to this observed decrease in research impact. To target future research capacity building activities in sub-Saharan Africa it is important to assess whether the observed decreased impact reflects the scientific competencies and geographic distribution of individual researchers or institutional-, national- or funder-specific research requirements.