Social attention and scientific articles on stroke: Altmetric analysis of top-50 articles

Exploring stroke discourse on Twitter through content and network analysis among Indian users

The study aimed to understand stroke-related Twitter conversations in India, focusing on topics, message sources, reach, and influential users to provide insights to stakeholders regarding community needs for knowledge, support, and interventions. Geo-tagged Twitter posts focusing on stroke originating from India and, spanning from November 7, 2022, to February 28, 2023, were systematically obtained via the Twitter application programming interface, using keywords and hashtags sourced through Symplur Signals. Preprocessing involved the removal of hashtags, stop words, and URLs. The Latent Dirichlet Allocation (LDA) topic model was used to identify recurring stroke-related topics, while influential users were identified through social network analysis. About half of the tweets about stroke in India were about seeking support and post-stroke bereavement sharing and had the highest reachability. Four out of 10 tweets were from the individual twitter users. Tweets on the topic risk factors, awareness and prevention (14.6%) constituted the least proportion, whereas the topic management, research, and promotion had the least retweet ratio. Twitter demonstrates significant potential as a platform for both disseminating and acquiring stroke-related information within the Indian context. The identified topics and understanding of the content of discussion offer valuable resources to public health professionals and organizations to develop targeted educational and engagement strategies for the relevant audience.

Characteristics and Methodological Quality of the Top 50 Most Influential Articles on Stroke Rehabilitation: A Bibliometric Analysis

ABSTRACT

This study aimed to conduct a comprehensive review of the top 50 most influential articles on stroke rehabilitation to investigate characteristics, such as the number of citations, year of publication, study design, and research topic, as well as to assess the evidence level and methodological quality. Moreover, we performed a supplementary assessment of the top 10 articles published within the past 5 yrs in the same domain, aiming to discern potential shifts in trends and methodological quality. Web of Science was used to search for articles on stroke rehabilitation. The data extracted from the articles included title, journal impact factor, year of publication, total number of citations, article topic, study design, and others. The level of evidence and methodological quality were assessed by two reviewers. Noninvasive brain stimulation and robotic rehabilitation were frequently discussed in the top 50 articles. We found that there was no difference in methodology quality between the top 50 articles in all years and the top ten articles in the past 5 yrs. Furthermore, the number of citations and citation density were not associated with the methodological quality. The findings suggest that the number of citations alone may not be a reliable indicator of research quality.

Evaluation of the correlation between Altmetric attention score and citation number of top 50 articles in hip fractures: a cross-sectional study

Background

Publications quality evaluation gets more attention nowadays, because of its impact on researchers ranking and academic journals. Beside traditional bibliometric tools, altemetric metrics have been introduced as tools to evaluate the dissemination of a study by the number of views, mentions, and posts on different websites and social medias.

Method

In this study, the authors evaluate the correlation between citation number as a traditional tool and altmetric attention score (AAS) as a new method. Scopus database was searched to find the 50 most cited manuscripts on "hip fractures" title from January 2015 to December 2020. After excluding irrelevant subjects, AAS of included articles was collected from the Altmetric.com website. At the last stage, the data were analyzed using statistical tests.

Results

According to statistical analysis, R 2 was 0.121, and the P-value was 0.017, which shows a weak but statistically significant relationship between citation and AAS. The relationship between the number of mentions on Twitter and the AAS was linear.The differences observed between the two groups were significant only in "Readers on Mendeley" and "Dimensions". Results shown that the impact factor of the journal and the AAS of articles had no significant relationship (R 2=0.001, P-value=0.986).

Conclusion

Findings showed that social media does not seem to be ineffective in disseminating published articles. It has also been shown that Twitter can play a significant role in the propagation of articles on social networks. It is not unreasonable to say that the accessibility of a journal affects the dissemination of an article on social media. In the end, the authors found that the impact factor of the journal could not significantly affect the AAS.

The Altmetric Attention Score Is Associated With Citation Rates and May Reflect Academic Impact in the Total Joint Arthroplasty Literature

Background: Given the increasing interest and potential use of social media for the promotion of orthopedic literature, there is a need to better understand Altmetrics. Purposes: We sought to determine the relationship between the Altmetric Attention Score (AAS) and the number of citations for articles on total joint arthroplasty (TJA) published in orthopedics journals. We also sought to determine the predictors of greater social media attention for these articles. Methods: Articles on TJA published in Bone and Joint Journal (BJJ), Journal of Bone and Joint Surgery (JBJS), Clinical Orthopedics and Related Research (CORR), Journal of Arthroplasty, Journal of Knee Surgery, Hip International, and Acta Orthopaedica in 2016 were extracted (n = 498). One-way analysis of variance with Bonferroni corrections was used to compare AAS and citations across journals. Multivariate regressions were used to determine predictors of social media attention and number of citations. Results: The mean AAS and number of citations were 7.5 (range: 0-289) and 16.7 (range: 0-156), respectively. Significant between-group effects were observed according to journal for AAS and number of citations. Publishing an article in JBJS was the strongest predictor of higher number of citations. Publishing an article in BJJ was the only independent predictor of higher AAS, while publishing an article in JBJS or CORR trended toward statistical significance. A higher AAS was a significant predictor of a higher number of citations. Number of citations and number of study references were positive predictors of greater social media attention on Twitter and Facebook. Conclusions: In articles on TJA published in 7 journals in 2016, a higher AAS was a associated with a higher number of citations. Various bibliometric characteristics were found to be significantly associated with greater social media attention; the most common influences were number of citations and number of references. Researchers in orthopedics can use this information when considering how to assess the impact of their work.

Twitter Use Among Orthopedic Surgery Journals Correlates With Increased Citation Rates

Use of alternative online means of distribution for research is a rapidly evolving area in orthopedics. In this study, we investigate the impact of Twitter on research citation rates and the association between Altmetric Attention Score (AAS) and citation rates across major orthopedic journals. Original research articles published in a selection of 10 journals between January 2018 and December 2018 were analyzed for number and source of tweets, AAS, and number of citations. We determined the relationship between Twitter use of different sources and number of citations across all journals and within each individual journal, any statistical differences in citations and AAS for tweeted vs nontweeted articles, and the correlation between journal impact factor and average number of monthly tweets. We included 2916 articles in our study, at an average of 26 months after publication. The mean AAS was 9.7 (SD, 45.1; range, 0-1125), and mean citation rate was 6.4 (SD, 8.5; range, 0-166). Impact factor was strongly correlated with average monthly tweets (r²=0.77). Tweeted articles received 8.51 citations on average, compared with 2.56 citations for nontweeted articles (P<.05). Tweets sent by the author/department had the highest impact on future citations (P<.01). Tweets by news outlets had a smaller, positive effect on citations (P<.01). Tweets sent by Arthroscopy (P<.01) and Journal of Pediatric Orthopaedics (P<.01) had high impacts compared with other journals. [Orthopedics. 2023;46(1):e38-e44.].

Assessing Factors Associated With Altmetric Attention Score: A Preliminary Study of 3 Hand Surgery Journals

BACKGROUND

Traditional measures of evaluating scholarly output do not capture the impact social media can provide in disseminating and promoting research. We sought to better understand the level of online attention that high-quality hand research received.

METHODS

Scientific manuscripts published from 2017 in Journal of Hand Surgery (American Volume) (JHS-A), Journal of Hand Surgery (European Volume) (JHS-E), and HAND were recorded. Manuscript characteristics were determined, including the number of citations. Altmetric Attention Score (AAS), a measure of a manuscript's online attention and impact, was determined, as well as Twitter mentions, Facebook mentions, and news outlet mentions. Spearman rho (ρ) correlation coefficient was used to evaluate the relationship between the number of citations and AAS. Multivariable linear regression analysis was performed to determine which manuscript factors were associated with AAS.

RESULTS

A total of 323 manuscripts were identified. There was a weak positive correlation between the number of citations and AAS; however, this relationship did not exist for each individual journal. Publication in HAND and JHS-E were associated with lower average manuscript AAS when using JHS-A as the reference group. Two additional factors were also associated with increased manuscript AAS: (1) being a clinical study focused on a specific upper extremity anatomical location; and (2) increasing number of institutions on a study.

CONCLUSIONS

Publication in HAND and JHS-E were associated with lower manuscript AAS when using JHS-A as the reference group, suggesting that HAND and JHS-E have room for improvement in using social media to share their high-quality hand surgery scientific articles.

Analysis of Trending Topics in Breast Cancer Articles From an Altmetric Perspective

Background

It is widely known that social media has an impact on politics and the economy. The Altmetric Attention Score (AAS) is a new Web-based metric that was recently developed for use in the scientific field. The objective of this study was to assess which recent studies on the topic of breast cancer received the most attention from the general public.

Methodology

An Altmetric Explorer search was performed on January 7, 2022, to extract the following information: journal name, impact factor (IF), year of publication, article topic, article type, and level of evidence.

Results

The journal that published articles that received the most attention on social media was the New England Journal of Medicine (n = 8). All of the articles were published in journals in the highest IF quartile. The most frequent top three subjects in the top 50 articles were “treatment and management,” “risk factors for breast cancer,” and “breast cancer screening.” The number of articles with a level of evidence of 1, 2, 3, and 4 was 12, 17, 17, and 4, respectively. The correlation between AAS and citation was not significant.

Conclusions

The AAS seems to be a more reliable assessment of public perception of breast cancer. We propose that combining the AAS and traditional metrics may provide a more detailed description of scientific research output.

Top 50 covid and oral health articles: A 2021 altmetric analysis

Objectives

There is a world of information at our disposal, and it is increasingly difficult to transform this dull amount of data into knowledge. How to be constantly actualized? This study aims to create an altmetric list of the top 50 articles related to COVID-19 and oral health.

Methods

Research of terms COVID-19 and oral health was done using Dimensions app. Results were ranked in altmetric citations and analyzed through Microsoft Excel. Some tables and graphics were created. Graphical illustration of keywords was created using VOSviewer.

Results

Some interesting facts can be seen, like growing interest in dental aerosols, perspectives, and virucidal activity of some mouthwashes.

Conclusions

Altmetric analysis is a helpful manner to scientific updates, supplementing bibliometric analysis. A terrific manner to see trends. The scientific community goes to great lengths to solve problems with dental aerosols, particularly to reduce contamination. Some adjustments to dental office and the use of barriers are recommended.

Prevention, Diagnosis, and Management of Upper Extremity Lymphedema Complications: Altmetric Analysis of Online Media

Background:

Traditional citation-based metrics do not capture the dissemination of upper extremity lymphedema (UEL) research that occurs online and in mainstream media. There is limited literature reporting the most impactful UEL articles based on citation rate and/or online mentions. We sought to use the Altmetric Attention Score (AAS) to determine the most impactful UEL articles in online media and to report trends in the diagnosis, treatment, and prevention of complications.

Methods:

The Altmetric database was queried to identify all published articles regarding the management, diagnosis, and prevention of complications seen in the setting of UEL. Extracted data points included article topic and type, journal, and number of online mentions on several platforms.

Results:

Our index search yielded 638 studies published between 2000 and 2021. Fifty articles with the highest AAS scores were included for analysis. The median AAS was 27.5, but the top four articles had AAS scores that were substantially higher (AAS ≥ 334) than all other studies. Of the top 50 articles, 68% (34/50) were original research. Of those, 23.5% (8/34) were randomized control trials. The most common article topic was the treatment of UEL (36%; 18/50) followed by diagnostic methods of UEL (30%; 15/50). There were a total of 1156 Twitter mentions (median:14) for the top 50 articles. Of all media platforms, news mentions correlated most strongly with AAS (R² = 0.99, P < 0.001).

Conclusions:

Our findings suggest that alternative metrics measure distinct components of article impact and add an important dimension to understanding the overall impact of published research on UEL.

Influenza Altmetric Attention Score and its association with the influenza season in the USA

Background: Altmetrics measure the impact of journal articles by tracking social media, Wikipedia, public policy documents, blogs, and mainstream news activity, after which an overall Altmetric attention score (AAS) is calculated for every journal article. In this study, we aim to assess the AAS for influenza related articles and its relation to the influenza season in the USA.

Methods: This study used the openly available Altmetric data from Altmetric.com. First, we retrieved all influenza-related articles using an advanced PubMed search query, then we inputted the resulted query into Altmetric explorer. We then calculated the average AAS for each month during the years 2012-2018.

Results: A total of 24,964 PubMed documents were extracted, among them, 12,395 documents had at least one attention. We found a significant difference in mean AAS between February and each of January and March (p< 0.001, mean difference of 117.4 and 460.7, respectively). We found a significant difference between June and each of May and July (p< 0.001, mean difference of 1221.4 and 162.7, respectively). We also found a significant difference between October and each of September and November (p< 0.001, mean difference of 88.8 and 154.8, respectively).

Conclusion: We observed a seasonal trend in the attention toward influenza-related research, with three annual peaks that correlated with the beginning, peak, and end of influenza seasons in the USA, according to Centers for Disease Control and Prevention (CDC) data.

The 100 Most Mentioned Glaucoma Articles Online With Highest Altmetric Attention Scores

PRCIS

Characteristics of the most mentioned glaucoma articles on the internet were analyzed, allowing a better understanding of the dissemination of glaucoma research to the general public.

PURPOSE

The aim was to determine the 100 most mentioned articles on the internet in the field of glaucoma and analyze their characteristics.

MATERIALS AND METHODS

We identified the top 100 glaucoma articles with the highest Altmetric Attention Score (AAS), an automatically calculated metric for monitoring social media. Each article was evaluated for several characteristics including year of publication, title, journal name, journal impact factor (IF), article topic, article type, affiliation, and online mentions (news, blog, policy, Twitter, Facebook, etc.). Correlation analysis was conducted for AAS with these characteristics.

RESULTS

The selected 100 articles came from 44 journals with more than half (56%) published in ophthalmology-specific journals. There was no significant correlation between IF and number of articles in a specific journal or AAS (P>0.1), but the number of articles in the top 100 was higher for ophthalmology journals with a higher IF (P<0.05). Original study was the most common study type (87%), of which clinical observation study was the most common subgroup (40%). Epidemiology/risk factor and basic science were the most common article topics (each 24%), followed by medical treatment (13%). Article topics regarding medical treatment had a significantly greater AAS than other topics (P<0.05). Of the top 5 articles, more than half (60%) were related to "Lifestyle choice" topics.

CONCLUSIONS

There was no association between journal IF and AAS, consistent with previous studies. 90% of journals that had articles in the top 100 had a Twitter page. "Lifestyle choice" activities and other modifiable risk factors attracted significant online attention regarding glaucoma studies, with two of the top three most mentioned articles related to dietary intake. The present study thus provides a better understanding of online engagement with glaucoma research and the dissemination of this research to the general public.

Association Between Immediacy of Citations and Altmetrics in COVID-19 Research by Artificial Neural Networks

OBJECTIVES

Both citations and Altmetrics are indexes of influence of a publication, potentially useful, but to what extent that the professional-academic citation and media-dominated Altmetrics are consistent with each other is a topic worthy of being investigated. The objective is to show their correlation.

METHODS

DOI and citation information of coronavirus disease 2019 (COVID-19) researches were obtained from the Web of Science, its Altmetric indicators were collected from the Altmetrics. Correlation between the immediacy of citation and Altmetrics of COVID-19 research was studied by artificial neural networks.

RESULTS

Pearson coefficients are 0.962, 0.254, 0.222, 0.239, 0.363, 0.218, 0.136, 0.134, and 0.505 (P < 0.01) for dimensions citation, attention score, journal impact factor, news, blogs, Twitter, Facebook, video, and Mendeley correlated with the SCI citation, respectively. The citations from the Web of Science and that from the Altmetrics have deviance large enough in the current. Altmetric score is not precise to describe the immediacy of citations of academic publication in COVID-19 research.

CONCLUSIONS

The effects of news, blogs, Twitter, Facebook, video, and Mendeley on SCI citations are similar to that of the journal impact factor. This paper performs a pioneer study for investigating the role of academic topics across Altmetric sources on the dissemination of scholarly publications.

Correlation between universities’ Altmetric Attention Scores and their performance scores in Nature Index, Leiden, Times Higher Education and Quacquarelli Symonds ranking systems

Objective:

Altmetrics are claimed to measure the scientific, societal, educational, technological and economic impacts of science. They have some of these dimensions in common with university ranking and evaluating systems. Their results are, therefore, expected to be partially convergent with the systems’. Given the importance of the scientific and non-scientific impacts of science, this study investigated the correlations of universities’ altmetrics with their total and dimensional scores in Nature Index, Leiden, Times Higher Education (THE) and Quacquarelli Symonds (QS).

Methodology:

Following a correlational design, it explored an available sample of the universities commonly ranked in the systems in 2017. The data were collected from online documents using checklists and analysed by the Spearman correlation. As Altmetric Attention Score (ASS) is efficient in that it integrates several indicators into a single one, it was used as the proxy of the universities’ social performance.

Findings:

The universities showed significant positive correlations between their ASSs and their performance scores on the total and dimensional levels, except for industry income in THE, with an insignificant correlation, and proportion of collaborative publication less than 100 km. in Leiden, with an inverse correlation. The correlations ranged from weak to marginally strong.

Conclusion:

The positive relationships between the universities’ performance and ASSs signified that there existed some similarities in what they measured. However, they were of weak-to-marginally strong powers, implying that the metrics differed in what they measured. The findings contribute to the existing knowledge by providing some evidence of convergence between university-level altmetrics and university performances in various dimensions.

Tracking trends of transgender health research online: are researchers and the public on the same page?

Altmetric Explorer was searched for the most popular online articles published in Pubmed-indexed journals. The 75 articles with the highest Altmetric Attention Score (AAS) were screened for article information (date, journal, access), authorship (number of authors, affiliation and origin of the corresponding author), and research (type, subject, funding). The reviewed articles displayed a mean AAS of 241.52, were broadcast 17.03 times by news agencies, posted on Twitter 101.47 times, downloaded by 67.21 Mendeley readers, and received 62.67 citations. There was intense online interest in the transgender health literature, mainly related to mental health and social well-being. Online visibility of transgender health articles was not significantly correlated with citation counts, implying that the public, likely including transgender persons and allies, may place emphasis on different health issues than scholars. Monitoring altmetrics and interactions on electronic media may help researchers conduct research that is more meaningful to transgender individuals, and to society in general.

Orthopaedic Randomized Controlled Trials Published in General Medical Journals Are Associated With Higher Altmetric Attention Scores and Social Media Attention Than Nonorthopaedic Randomized Controlled Trials

PURPOSE

To (1) compare the Altmetric Attention Score (AAS) and citation rates between orthopaedic and nonorthopaedic randomized controlled trials (RCTs) from 5 high-impact medical journals and (2) identify general characteristics of these articles associated with greater exposure on social media platforms.

METHODS

Articles published in The New England Journal of Medicine (NEJM), Lancet, The Journal of the American Medical Association (JAMA), Annals of Internal Medicine, and Archives of Internal Medicine between January 2011 and December 2016 were analyzed. These journals were selected based on retaining high impact factors with rigorous publication standards and availability of the AAS for their publications. The queried time frame was chosen to balance the inception of the AAS with an optimal period for citation accrual. A total of 14 article characteristics, in addition to number of Tweets, Facebook shares, news mentions, and the AAS, were extracted. Inclusion criteria were orthopaedic RCTs reporting on outcomes after surgical intervention. Linear regression was used to assess the relationship between publication characteristics and the AAS and social media attention.

RESULTS

A total of 9 orthopaedic and 59 nonorthopaedic RCTs were included. The mean AASs were significantly different (574 ± 565.7 versus 256.9 ± 222.3, P = .003), whereas citation rate was not (192.2 ± 117.1 versus 382.3 ± 560.3, P = .317). Orthopaedic RCTs had a significantly greater number of mentions on Twitter and Facebook (P < .001). A higher AAS significantly associated with a greater number of citations (β = 0.75, P = .019) for orthopaedic RCTs. The mean AAS of orthopaedic RCTs favoring nonoperative management (809.6 ± 676.3) was greater than those favoring operative treatment (292.0 ± 248.9) but was not statistically significant (P = .361).

CONCLUSION

Orthopaedic RCTs published in 5 high-impact general medical journals had a significantly greater mean AAS relative to nonorthopaedic RCTs, with no differences in citation rates. Additionally, there was a strong association between the AAS and citation rate of orthopaedic RCTs. Orthopaedic RCTs had greater social media exposure on both Twitter and Facebook.

CLINICAL RELEVANCE

Orthopaedic surgeons, researchers, and providers who publish RCTs in high-impact medical journals can anticipate extensive social media attention for their articles relative to other nonorthopaedic RCTs in the same journals. Social media attention may be related to operative versus nonoperative management topics. This study provides further evidence for the increasing use of the AAS and its association with citation accrual.

Public Engagement and Neurology: An Update

BACKGROUND

Public engagement (PE) is defined as the involvement of "specialists who listen, develop their understanding, and interact with non-specialists in non-profit activities of educational, cultural, and social nature to engage the public in science-related matters". The public health relevance of PE consists in building up a scientifically literate society, able to participate in and support scientific and technological developments and their implications for educational settings. Neurological disorders account for 35% of all diseases. PE could have a positive impact on the lives of people affected by neurological diseases.

METHOD

This review evaluates the role of PE in dementia, stroke, epilepsy, multiple sclerosis, Parkinson's disease, migraine, neurogenetics, and amyotrophic lateral sclerosis.

RESULTS AND CONCLUSIONS

PE can provide accessible information, support research activities and prevention through appropriate lifestyles, and increase knowledge and awareness of neurological disorders, improving their diagnosis and treatment.

Factors associated with high Altmetric Attention Score in dermatology research

BACKGROUND

Alternative metrics are emerging scores to assess the impact of research beyond the academic environment.

OBJECTIVE

To analyse whether a correlation exists between manuscript characteristics and alternative citation metrics.

MATERIALS AND METHODS

This bibliometric analysis included original articles published in the five journals with the highest impact factors during 2019. We extracted the following characteristics from each record: journal, publication month, title, number of authors, type of institution, type of publication, research topic, number of references, financial support, free/open access status and literature citations. The main measure was the identification of variables of higher social attention (measured by the Altmetric Attention Score ≥25) using binary logistic regression. Model performance was assessed by the change in the area under the curve (AUC).

RESULTS

A total of 840 manuscripts were included. The Altmetric scores across all five journals ranged from 0 to 465 (mean 12.51 ± 33.7; median 3). The most prevalent topic was skin cancer, and the study design was clinical science. The scientific journal (P < 0.001), the presence of conflicts of interest (OR 2.2 [95%CI 1.3-3.7]; P = 0.002) and open access status OR 3.2 [95%CI 1.6-6.7]; P = 0.002) were found as independent predictors of high Altmetric scores.

CONCLUSIONS

Our study suggests an article´s social recognition may be dependent on some manuscript characteristics, thus providing useful information on the dissemination of dermatology research to the general public.

Assessment of Altmetrics and PlumX Metrics Scoring as Mechanisms to Evaluate the Top 100 Trending Hidradenitis Suppurativa Articles on Social Media: Cross-Sectional Study

Background

Dermatologists are increasingly utilizing social media platforms to disseminate scientific information. New tools, such as altmetrics and PlumX metrics, have been made available to rapidly capture the level of scientific article dissemination across social media platforms. However, no studies have been performed to assess the level of scientific article dissemination across social media regarding hidradenitis suppurativa, a disease that is still currently not well understood.

Objective

The aim of our study was to evaluate the utility of altmetrics and PlumX metrics by characterizing the top 100 “trending” hidradenitis suppurativa articles in the altmetric database by the altmetric attention score and PlumX score.

Methods

Altmetric data components of the top 100 hidradenitis suppurativa articles were extracted from the altmetric database. Article citation count was found using Web of Science. PlumX field-weighted impact scores for each article were collected from the Scopus database. Journal title, open-access status, article type, and study design of original articles were assessed. Additionally, the altmetric attention score, PlumX score, and citation count were log transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were utilized to determine correlations.

Results

Most of the top 100 “trending” hidradenitis suppurativa articles were published in JAMA Dermatology (n=27, 27%). The median altmetric attention score, PlumX score, and citation count were 25.5, 3.7, and 10.5, respectively. The most mentions regarding social media platforms came from Twitter. Although no correlation was observed between the citation count and altmetric attention score (r2=0.019, P=.17), positive correlation was observed between the citation count and PlumX score (r2=0.469, P<.001).

Conclusions

Our research demonstrated that citation count is not correlated with the altmetric attention score, but is strongly correlated with the PlumX score regarding hidradenitis suppurativa articles at this point in time. With the continual increase of social media usage by medical professionals and researchers, this study can help investigators understand the best way to captivate their audience.

Unwrap citation count, Altmetric Attention Score and Mendeley readership status of highly cited articles in the top-tier LIS journals

Purpose

The purpose of the study is to use a multidimensional perspective on the analysis of scholarly articles published in the top-tier Library and Information Science (LIS) journals. The relationships between the impact factors (Altmetric attention score [AAS], citation count and Mendeley readership) were analyzed, and reader profiles were characterized and studied.

Design/methodology/approach

This paper examined citation count, AAS and Mendeley readership of the most cited articles published in the top-tier LIS journals – The Journal of Academic Librarianship, Government Information Quarterly and Library and Information Science Research. A total of 61 articles were analyzed. Data were recorded on an Excel spreadsheet and exported to the statistical software package SPSS 18.0 for Windows to perform the descriptive and correlation analysis.

Findings

This study suggests that Mendeley readership and AAS could be used as supplemental measurements for assessing the impact of a publication or author in the LIS. AAS and Mendeley readership are positively correlated with citation count, and the correlation between Mendeley readership and citation count was stronger than AAS and citation count. Librarians are dominant readers of the top-tier LIS journals, followed by social sciences, computer science and arts and humanities professions.

Originality/value

This study introduces two newly launched metrics for measuring the research impact factor and discusses how they correlated with citation count. Moreover, the study details the spectrum of Altmetric for discovering readership of LIS top-tier journals. To the best of authors’ knowledge, this is the first study that presents the spectrum of AAS and Mendeley readership of the most cited articles published in top-tier of LIS journals. The study reveals an alternative way of measuring LIS publication’s impact factor that enables researchers, librarians, administrators, publishers and other stakeholders in LIS to assess the influence of a publication from another angle.

What Is the Predictive Ability and Academic Impact of the Altmetrics Score and Social Media Attention?

BACKGROUND

Citation rate and journal impact factor have traditionally been used to assess research impact; however, these may fail to represent impact beyond the sphere of academics. Given that social media is now used to disseminate research, alternative web-based metrics (altmetrics) were recently developed to better understand research impact on social media. However, the relationship between altmetrics and traditional bibliometrics in orthopaedic literature is poorly understood.

PURPOSE

To (1) assess the extent that altmetrics correlate with traditional bibliometrics and (2) identify publication characteristics that predict greater altmetrics scores.

STUDY DESIGN

Cross-sectional study.

METHODS

Articles published in The American Journal of Sports Medicine (AJSM), The Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research, Acta Orthopaedica, and Knee Surgery, Sports Traumatology, Arthroscopy between January 2016 and December 2016 were analyzed. Among the extracted publication characteristics were journal, number of authors, geographic region of origin, highest degree of first author, study subject and design, sample size, conflicts of interest, and level of evidence; number of references, institutions, citations, tweets, Facebook mentions, and news mentions; and Altmetric Attention Score (AAS). Multivariate regressions were used to determine (1) publication characteristics predictive of AAS and social media attention (mentions on Twitter, Facebook, and the news) and (2) the relationship between AAS and citation rate.

RESULTS

A total of 496 published articles were included, with a mean AAS of 8.6 (SD, 31.7; range, 0-501) and a mean citation rate of 15.0 (SD, 16.1; range, 0-178). Articles in AJSM (β = 19.9; P < .001), publications from North America (β = 8.5; P = .033), and studies concerning measure validation/reliability (β = 25.5; P = .004) were independently associated with higher AAS. Greater AAS score significantly predicted a greater citation rate (β = 0.16; P < .0001). The citation rate was an independent predictor of greater social media attention on Twitter, Facebook, and the news (odds ratio range, 1.02-1.03; P < .05 all).

CONCLUSION

AAS had a significant positive association with citation rates of articles in 5 high-impact orthopaedic journals. Articles in AJSM, studies concerning measure validation and reliability, and publications from North America were positively associated with greater AAS. A greater number of citations was consistently associated with publication attention received on social media platforms.

Public Interest in Cognitive Impairment: An Analysis of the Top 50 Articles on Cognitive Impairment on Altmetric

Background

As the average life expectancy continues to increase, interest in cognitive impairment is increasing. Nowadays, as social media expands its reach, academic research is spreading through social media, changing the way and speed by which research is propagated and also who consumes this content. Therefore, using Altmetric, a new web-based set of metrics that analyzes the impact of content on social media platforms, we investigated the characteristics of influential research articles on the topic of cognitive impairment in social media.

Methods

An Altmetric Explorer search was performed on May 25, 2018, to extract the following information: (i) journal name, (ii) journal impact factor (IF), (iii) year of publication, (iv) article topic, (v) article type, and (vi) cognitive impairment subtype.

Results

The journal “Neurology” was the most cited journal for cognitive impairment articles shared on social media. Among the various types of cognitive impairment, most articles were related to dementia (all subtypes), Alzheimer's disease, and aging. The most common article type was original scientific paper, especially cohort study. The most popular topic was the identification of protective or risk factors for cognitive impairment.

Conclusion

The characteristics of articles with a high Altmetric Attention Score were somewhat different from those of articles with a high number of traditional citations. Social media had the disadvantage that it was difficult to verify the authenticity of the primary source in question, but the advantage was that it could immediately determine the trends regarding how information about that source was being shared and consumed. Therefore, it may be advisable to use Altmetric analysis in combination with traditional methods of evaluating the research articles to understand the dissemination of scientific research and to direct future research.

Altmetrics Analysis of Archivos de Bronconeumología From 2014 to 2018

INTRODUCTION

Alternative metrics or altmetrics are non-traditional measurements of scientific production that reflect a publication's influence in social networks and similar channels of dissemination. The aim of this study was to analyze the media impact of Archivos de Bronconeumología according to 2 altmetric aggregators and website visits.

METHODS

This was an observational study of the original articles and review and consensus articles published in Archivos de Bronconeumología during the period 2014-2018. Data from the PlumX Metrics and Altmetric aggregators and visits to the Archivos de Bronconeumología website were analyzed. Five comparisons were made: by specialty area, by funding received, by number of participating centers, by document type, and by topic. In a subanalysis, altmetrics were correlated with the conventional citation system.

RESULTS

We analyzed 273 papers, of which 186 were original articles (68.1%). The papers that achieved greater media impact in the 2 aggregators analyzed, and in terms of website visits, were pulmonology papers and review and consensus articles. The mean Altmetric Attention Score was 1.9±4.4 (range 0-59), which is above average for the date of publication of the paper. A statistically significant weak to moderate correlation was identified between altmetrics and conventional citations.

CONCLUSIONS

Review articles, consensus documents, and pulmonology papers had a greater media impact. Mean Altmetric Attention Score was higher than the average based on the date of publication. A weak to moderate correlation between altmetrics and conventional citations was identified.