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Rubulotta F, Hemmerling TM, Bahrami S. Promoting equity, diversity, and inclusion in regional anesthesia academic publishing: a call to action. JOURNAL OF ANESTHESIA, ANALGESIA AND CRITICAL CARE 2024; 4:11. [PMID: 38347636 PMCID: PMC10860263 DOI: 10.1186/s44158-024-00145-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 01/25/2024] [Indexed: 02/15/2024]
Affiliation(s)
- Francesca Rubulotta
- Department of Critical Care Medicine, McGill University, Montreal, Canada.
- IWIN Foundation, Vittorio Emanuele 329 Agira, Sicily, Italy.
| | - Thomas M Hemmerling
- International, Society of Technology in Anesthesia, Research, Society of Technology in Anesthesia, Department of Anesthesia, Fleury Hospital - CSSS Ahuntsic and Montreal-Nord, McGill University & Biomedical Engineering, UdM, Montreal, Canada
| | - Sahar Bahrami
- Department of Critical Care Medicine, McGill University, Montreal, Canada
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2
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Wang S, Tian C, Gao Z, Zhang B, Zhao L. Research status and trends of the diabetic cardiomyopathy in the past 10 years (2012–2021): A bibliometric analysis. Front Cardiovasc Med 2022; 9:1018841. [PMID: 36337893 PMCID: PMC9630656 DOI: 10.3389/fcvm.2022.1018841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 09/28/2022] [Indexed: 11/28/2022] Open
Abstract
Background Diabetic cardiomyopathy is one of the most life-threatening diabetic complications. However, the previous studies only discuss a particular aspect or characteristic of DCM, the current state and trends were explored by limited research. We aimed to perform a systemically bibliometric study of DCM research progress status in the past decade, visualize the internal conceptual structure and potential associations, and further explore the prospective study trends. Methods Articles related to DCM published from January 2012 to December 2021 were collected in the Web of Science core collection (WoSCC) database on June 24, 2022. We exported all bibliographic records, including titles, abstracts, keywords, authorship, institutions, addresses, publishing sources, references, citation times, and year of publication. In addition, the journal Impact Factor and Hirsch index were obtained from the Journal Citation Report. We conducted the data screening, statistical analysis, and visualization via the Bibliometrix R package. VOS viewer software was employed to generate the collaboration network map among countries and institutions for better performance in visualization. Results In total, 1,887 original research articles from 2012 to 2021 were identified. The number of annual publications rapidly increased from 107 to 278, and a drastic increase in citation times was observed in 2017–2019. As for global contributions, the United States was the most influential country with the highest international collaboration, while China was the most productive country. Professor Cai Lu was the most prolific author. Shandong University published the most articles. Cardiovascular Diabetology journal released the most DCM-related articles. “Metabolic Stress-induced Activation of FoxO1 Triggers Diabetic Cardiomyopathy in Mice” Battiprolu PK et al., J Clin Invest, 2012. was the most top-cited article regarding local citations. The top three keywords in terms of frequency were apoptosis, oxidative stress, and fibrosis. The analysis of future topic trends indicated that “Forkhead box protein O1,” “Heart failure with preserved ejection fraction,” “Dapagliflozin,” “Thioredoxin,” “Mitochondria dysfunction,” “Glucose,” “Pyroptosis,” “Cardiac fibroblast” and “Long non-coding RNA” could be promising hotspots. Conclusion This study provides meaningful insights into DCM, which is expected to assist cardiologists and endocrinologists in exploring frontiers and future research directions in the domain through a refined and concise summary.
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Affiliation(s)
- Sicheng Wang
- Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chuanxi Tian
- Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Zezheng Gao
- Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Boxun Zhang
- Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Boxun Zhang,
| | - Linhua Zhao
- Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Linhua Zhao,
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3
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Cawcutt KA, Marcelin JR, Cortés-Penfield N, Cutrell JB, Dong SW, Mahoney MV, McCarty TP, Mediwala Hornback K, Titanji BK, Woc-Colburn LE, Schwartz IS. #SoMe the Money! Value, Strategy, and Implementation of Social Media Engagement for Infectious Diseases Trainees, Clinicians, and Divisions. Clin Infect Dis 2022; 74:S229-S236. [PMID: 35568477 DOI: 10.1093/cid/ciac063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Indexed: 12/22/2022] Open
Abstract
Social media platforms have revolutionized how we consume information, along with how to effectively present communication, education, and advocacy efforts. There is profound value in leveraging social media within these aspects for the field of infectious diseases, for divisions and individual clinicians. Herein, we provide the rationale to incorporate social media as a key competency for infectious diseases training and specific guidance on aspects of education and strategic development of new accounts critical for success.
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Affiliation(s)
- Kelly A Cawcutt
- Division of Infectious Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Jasmine R Marcelin
- Division of Infectious Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Nicolás Cortés-Penfield
- Division of Infectious Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - James B Cutrell
- Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Sara W Dong
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Division of Infectious Diseases, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Monica V Mahoney
- Department of Pharmacy, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Todd P McCarty
- Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Krutika Mediwala Hornback
- Department of Pharmacy Practice, Medical University of South Carolina (MUSC) Health, Charleston, South Carolina, USA
| | - Boghuma K Titanji
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USAand
| | - Laila E Woc-Colburn
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USAand
| | - Ilan S Schwartz
- Division of Infectious Diseases, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
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4
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Pfrieger FW. Neurodegenerative Diseases and Cholesterol: Seeing the Field Through the Players. Front Aging Neurosci 2021; 13:766587. [PMID: 34803658 PMCID: PMC8595328 DOI: 10.3389/fnagi.2021.766587] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 10/14/2021] [Indexed: 12/18/2022] Open
Abstract
Neurodegenerative diseases, namely Alzheimer’s (AD), Parkinson’s (PD), and Huntington’s disease (HD) together with amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS), devastate millions of lives per year worldwide and impose an increasing socio-economic burden across nations. Consequently, these diseases occupy a considerable portion of biomedical research aiming to understand mechanisms of neurodegeneration and to develop efficient treatments. A potential culprit is cholesterol serving as an essential component of cellular membranes, as a cofactor of signaling pathways, and as a precursor for oxysterols and hormones. This article uncovers the workforce studying research on neurodegeneration and cholesterol using the TeamTree analysis. This new bibliometric approach reveals the history and dynamics of the teams and exposes key players based on citation-independent metrics. The team-centered view reveals the players on an important field of biomedical research.
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Affiliation(s)
- Frank W Pfrieger
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, Strasbourg, France
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5
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Pfrieger FW. TeamTree analysis: A new approach to evaluate scientific production. PLoS One 2021; 16:e0253847. [PMID: 34288914 PMCID: PMC8294527 DOI: 10.1371/journal.pone.0253847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 06/14/2021] [Indexed: 11/18/2022] Open
Abstract
Advances in science and technology depend on the work of research teams and the publication of results through peer-reviewed articles representing a growing socio-economic resource. Current methods to mine the scientific literature regarding a field of interest focus on content, but the workforce credited by authorship remains largely unexplored. Notably, appropriate measures of scientific production are debated. Here, a new bibliometric approach named TeamTree analysis is introduced that visualizes the development and composition of the workforce driving a field. A new citation-independent measure that scales with the H index estimates impact based on publication record, genealogical ties and collaborative connections. This author-centered approach complements existing tools to mine the scientific literature and to evaluate research across disciplines.
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Affiliation(s)
- Frank W. Pfrieger
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, Strasbourg, France
- * E-mail: ,
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6
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Zurynski Y, Smith CL, Knaggs G, Meulenbroeks I, Braithwaite J. Funding research translation: how we got here and what to do next. Aust N Z J Public Health 2021; 45:420-423. [PMID: 34251704 DOI: 10.1111/1753-6405.13131] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Affiliation(s)
- Yvonne Zurynski
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, New South Wales.,NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, New South Wales
| | - Carolynn L Smith
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, New South Wales.,NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, New South Wales
| | - Gilbert Knaggs
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, New South Wales.,NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, New South Wales
| | - Isabelle Meulenbroeks
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, New South Wales.,NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, New South Wales
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, New South Wales.,NHMRC Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, New South Wales
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7
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Ha GL, Lehrer EJ, Wang M, Holliday E, Jagsi R, Zaorsky NG. Sex Differences in Academic Productivity Across Academic Ranks and Specialties in Academic Medicine: A Systematic Review and Meta-analysis. JAMA Netw Open 2021; 4:e2112404. [PMID: 34185071 PMCID: PMC8243235 DOI: 10.1001/jamanetworkopen.2021.12404] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
IMPORTANCE Despite equal numbers of men and women entering medical school, women are underrepresented in the upper echelons of academic medicine and receive less compensation and research funding. Citation-related publication productivity metrics, such as the h-index, are increasingly used for hiring, salary, grants, retention, promotion, and tenure decisions. Exploring sex differences in these metrics across academic medicine provides deeper insight into why differences are observed in career outcomes. OBJECTIVE To systematically examine the available literature on sex differences in h-index of academic faculty physicians across all medical specialties and all levels of academic rank. DATA SOURCES Medical literature with the term h-index found in PubMed and published between January 1, 2009, and December 31, 2018, was used. STUDY SELECTION A PICOS (Population, Intervention, Comparison, and Outcomes), PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses), and MOOSE (Meta-analysis of Observational Studies in Epidemiology) selection protocol was used to find observational studies that published h-indexes for faculty physicians that were stratified by sex. Studies were excluded if they were review articles, retracted, or unavailable online. Ultimately, 14 of 786 studies (1.78%) met the inclusion criteria. DATA EXTRACTION AND SYNTHESIS Data from 9 studies across 16 specialties were examined using weighted random-effects meta-analyses. Five studies were excluded because of overlapping specialties with another study or because they were missing appropriate statistics for the meta-analysis. Four of these studies were included in qualitative synthesis to bring the total to 13 studies. MAIN OUTCOMES AND MEASURES The primary study outcome was the h-index. RESULTS The meta-analysis included 10 665 North American unique academic physicians across 9 different studies from the years 2009 to 2018. Of the 10 665 physicians, 2655 (24.89%) were women. Summary effect sizes for mean h-indexes of men and women and mean h-index difference between men and women were determined for all faculty physicians and at each academic rank. Overall, female faculty had lower h-indexes than male faculty (mean difference, -4.09; 95% CI, -5.44 to -2.73; P < .001). When adjusting for academic rank, female faculty still had lower h-indexes than male faculty at the ranks of assistant professor (mean difference, -1.3; 95% CI, -1.90 to -0.72; P < .001), associate professor (mean difference, -2.09; 95% CI, -3.40 to -0.78; P = .002), and professor (mean difference, -3.41; 95% CI, -6.24 to -0.58; P = .02). CONCLUSIONS AND RELEVANCE In this systematic review and meta-analysis, women had lower h-indexes than men across most specialties and at all academic ranks, but it is unclear why these differences exist. These findings suggest that future investigation should be conducted regarding the causes of lower h-indexes in women and that interventions should be developed to provide a more equitable environment for all physicians regardless of sex.
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Affiliation(s)
- Giang L. Ha
- Department of Radiation Oncology, Penn State Cancer Institute, Hershey, Pennsylvania
| | - Eric J. Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ming Wang
- Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, Penn State Cancer Institute, Hershey, Pennsylvania
| | - Emma Holliday
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Reshma Jagsi
- Department of Radiation Oncology, University of Michigan, Ann Arbor
- Center for Bioethics and Social Sciences, University of Michigan, Ann Arbor
| | - Nicholas G. Zaorsky
- Department of Radiation Oncology, Penn State Cancer Institute, Hershey, Pennsylvania
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8
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Oliveira J E Silva L, Maldonado G, Brigham T, Mullan AF, Utengen A, Cabrera D. Evaluating Scholars' Impact and Influence: Cross-sectional Study of the Correlation Between a Novel Social Media-Based Score and an Author-Level Citation Metric. J Med Internet Res 2021; 23:e28859. [PMID: 34057413 PMCID: PMC8204234 DOI: 10.2196/28859] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/07/2021] [Accepted: 05/06/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The development of an author-level complementary metric could play a role in the process of academic promotion through objective evaluation of scholars' influence and impact. OBJECTIVE The objective of this study was to evaluate the correlation between the Healthcare Social Graph (HSG) score, a novel social media influence and impact metric, and the h-index, a traditional author-level metric. METHODS This was a cross-sectional study of health care stakeholders with a social media presence randomly sampled from the Symplur database in May 2020. We performed stratified random sampling to obtain a representative sample with all strata of HSG scores. We manually queried the h-index in two reference-based databases (Scopus and Google Scholar). Continuous features (HSG score and h-index) from the included profiles were summarized as the median and IQR. We calculated the Spearman correlation coefficients (ρ) to evaluate the correlation between the HSG scores and h-indexes obtained from Google Scholar and Scopus. RESULTS A total of 286 (31.2%) of the 917 stakeholders had a Google Scholar h-index available. The median HSG score for these profiles was 61.1 (IQR 48.2), and the median h-index was 14.5 (IQR 26.0). For the 286 subjects with the HSG score and Google Scholar h-index available, the Spearman correlation coefficient ρ was 0.1979 (P<.001), indicating a weak positive correlation between these two metrics. A total of 715 (78%) of 917 stakeholders had a Scopus h-index available. The median HSG score for these profiles was 57.6 (IQR 46.4), and the median h-index was 7 (IQR 16). For the 715 subjects with the HSG score and Scopus h-index available, ρ was 0.2173 (P<.001), also indicating a weak positive correlation. CONCLUSIONS We found a weak positive correlation between a novel author-level complementary metric and the h-index. More than a chiasm between traditional citation metrics and novel social media-based metrics, our findings point toward a bridge between the two domains.
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Affiliation(s)
| | - Graciela Maldonado
- Department of Emergency Medicine, Mayo Clinic Rochester, Rochester, MN, United States
| | - Tara Brigham
- Mayo Clinic Libraries, Mayo Clinic Florida, Jacksonville, FL, United States
| | - Aidan F Mullan
- Department of Biostatistics and Informatics, Mayo Clinic Rochester, Rochester, MN, United States
| | | | - Daniel Cabrera
- Department of Emergency Medicine, Mayo Clinic Rochester, Rochester, MN, United States
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9
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Allahbakhsh M, Amintoosi H, Behkamal B, Beheshti A, Bertino E. SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems. J Informetr 2021. [DOI: 10.1016/j.joi.2020.101127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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10
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Hanna CR, Boyd KA, Jones RJ. Evaluating cancer research impact: lessons and examples from existing reviews on approaches to research impact assessment. Health Res Policy Syst 2021; 19:36. [PMID: 33706777 PMCID: PMC7953786 DOI: 10.1186/s12961-020-00658-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 11/09/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Performing cancer research relies on substantial financial investment, and contributions in time and effort from patients. It is therefore important that this research has real life impacts which are properly evaluated. The optimal approach to cancer research impact evaluation is not clear. The aim of this study was to undertake a systematic review of review articles that describe approaches to impact assessment, and to identify examples of cancer research impact evaluation within these reviews. METHODS In total, 11 publication databases and the grey literature were searched to identify review articles addressing the topic of approaches to research impact assessment. Information was extracted on methods for data collection and analysis, impact categories and frameworks used for the purposes of evaluation. Empirical examples of impact assessments of cancer research were identified from these literature reviews. Approaches used in these examples were appraised, with a reflection on which methods would be suited to cancer research impact evaluation going forward. RESULTS In total, 40 literature reviews were identified. Important methods to collect and analyse data for impact assessments were surveys, interviews and documentary analysis. Key categories of impact spanning the reviews were summarised, and a list of frameworks commonly used for impact assessment was generated. The Payback Framework was most often described. Fourteen examples of impact evaluation for cancer research were identified. They ranged from those assessing the impact of a national, charity-funded portfolio of cancer research to the clinical practice impact of a single trial. A set of recommendations for approaching cancer research impact assessment was generated. CONCLUSIONS Impact evaluation can demonstrate if and why conducting cancer research is worthwhile. Using a mixed methods, multi-category assessment organised within a framework, will provide a robust evaluation, but the ability to perform this type of assessment may be constrained by time and resources. Whichever approach is used, easily measured, but inappropriate metrics should be avoided. Going forward, dissemination of the results of cancer research impact assessments will allow the cancer research community to learn how to conduct these evaluations.
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Affiliation(s)
- Catherine R. Hanna
- CRUK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Kathleen A. Boyd
- Health Economics and Health Technology Assessment, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Robert J. Jones
- CRUK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
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11
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Demetrescu C, Finocchi I, Ribichini A, Schaerf M. On bibliometrics in academic promotions: a case study in computer science and engineering in Italy. Scientometrics 2020. [DOI: 10.1007/s11192-020-03548-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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Jappe A. Professional standards in bibliometric research evaluation? A meta-evaluation of European assessment practice 2005-2019. PLoS One 2020; 15:e0231735. [PMID: 32310984 PMCID: PMC7170233 DOI: 10.1371/journal.pone.0231735] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 03/30/2020] [Indexed: 11/19/2022] Open
Abstract
Despite growing demand for practicable methods of research evaluation, the use of bibliometric indicators remains controversial. This paper examines performance assessment practice in Europe-first, identifying the most commonly used bibliometric methods and, second, identifying the actors who have defined wide-spread practices. The framework of this investigation is Abbott's theory of professions, and I argue that indicator-based research assessment constitutes a potential jurisdiction for both individual experts and expert organizations. This investigation was conducted using a search methodology that yielded 138 evaluation studies from 21 EU countries, covering the period 2005 to 2019. Structured content analysis revealed the following findings: (1) Bibliometric research assessment is most frequently performed in the Nordic countries, the Netherlands, Italy, and the United Kingdom. (2) The Web of Science (WoS) is the dominant database used for public research assessment in Europe. (3) Expert organizations invest in the improvement of WoS citation data, and set technical standards with regards to data quality. (4) Citation impact is most frequently assessed with reference to international scientific fields. (5) The WoS classification of science fields retained its function as a de facto reference standard for research performance assessment. A detailed comparison of assessment practices between five dedicated organizations and other individual bibliometric experts suggests that corporate ownership and limited access to the most widely used citation databases have had a restraining effect on the development and diffusion of professional bibliometric methods during this period.
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Affiliation(s)
- Arlette Jappe
- Interdisciplinary Centre of Science and Technology Studies (IZWT), University of Wuppertal, Wuppertal, Germany
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13
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Siristatidis C, Pouliakis A. Flaws (and quality) in research today: can artificial intelligence intervene? Syst Biol Reprod Med 2020; 66:170-175. [PMID: 32267779 DOI: 10.1080/19396368.2020.1749727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The existing flaws in both conducting and reporting of research have been outlined and criticized in the past. Weak research design, poor methodology, lack of fresh ideas and poor reporting are the main points to blame. Issues have been continually raised on the types of results published, review process, sponsorship, notion, ethics, and incentives in publishing, the role of regulatory agencies and stakeholders, the role of funding, and the cooperation between funders and academic institutions and the training of both clinicians and methodologists or statisticians. As a result, there is loss of the utmost goal: the production of robust research to form recommendations to support pragmatic decision in a real-world context. We propose the construction of a model based on artificial intelligence that could assist stakeholders, clinicians, and patients to guide conducting the best quality of research. We briefly describe the levels of the workflow, including the input and output data collection, the feature extraction/selection, the architecture, and parameterization of the model, along with its training, operation, and refinement.
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Affiliation(s)
- Charalampos Siristatidis
- Assisted Reproduction Unit, Second Department of Obstetrics and Gynecology, Medical School, National and Kapodistrian University of Athens, Aretaieion Hospital , Athens, Greece
| | - Abraham Pouliakis
- Second Department of Pathology, Medical School, National and Kapodistrian University of Athens, Aretaieion Hospital , Athens, Greece
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14
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Three Commonly Utilized Scholarly Databases and a Social Network Site Provide Different, But Related, Metrics of Pharmacy Faculty Publication. PUBLICATIONS 2020. [DOI: 10.3390/publications8020018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
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.
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