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      Predicting citation impact from altmetric attention in clinical and translational research: Do big splashes lead to ripple effects?

      1 , , 2
      Clinical and Translational Science
      John Wiley and Sons Inc.

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          Publications are commonly used to evaluate the productivity and impact of research programs. Traditional metrics examine publication impact through slowly accumulating academic citations. “Altmetrics” are a new way to describe early publication influence in nonacademic media/community spheres (news, tweets, and blogs). Articles with significant altmetric attention make a big splash of immediate impact, whereas papers with high rates of academic citation reflect ripple effects of influence over time. Past research has found weak associations between altmetrics and academic citations. However, no previous research has focused on clinical/translational research, which aims to translate scientific discoveries to public use. Further, no previous research has assessed the relationship between altmetrics and modern citation impact factors like the National Institutes of Health (NIH)’s Relative Citation Ratio (RCR). It is also unclear whether publication in journals with higher journal impact factors (JIFs) may drive both public attention and academic impact. We investigated whether early altmetric indicators of splash predict citation ripples, beyond the effect of the JIF. For a portfolio of 2188 publications supported by the NIH’s Georgia Clinical and Translational Science Alliance from 2007–2020, we collected 2020 Altmetric Attention Scores (AAS), 2020 JIFs, and 2021 RCRs. All three were significantly correlated with one another. Regression analyses revealed that AAS significantly predicts later RCR, controlling for JIF and publication year. Findings indicate that in clinical/translational science, articles that make a big splash of altmetric attention have ripple effects through increased citation influence, which is not entirely due to publication in higher impact journals. Altmetric attention may be a useful early indicator of eventual influence and potential for translational advancement.

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          Most cited references17

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          Using Multivariate Statistics

          A Practical Approach to using Multivariate Analyses Using Multivariate Statistics , 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output
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            Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level

            Despite their recognized limitations, bibliometric assessments of scientific productivity have been widely adopted. We describe here an improved method to quantify the influence of a research article by making novel use of its co-citation network to field-normalize the number of citations it has received. Article citation rates are divided by an expected citation rate that is derived from performance of articles in the same field and benchmarked to a peer comparison group. The resulting Relative Citation Ratio is article level and field independent and provides an alternative to the invalid practice of using journal impact factors to identify influential papers. To illustrate one application of our method, we analyzed 88,835 articles published between 2003 and 2010 and found that the National Institutes of Health awardees who authored those papers occupy relatively stable positions of influence across all disciplines. We demonstrate that the values generated by this method strongly correlate with the opinions of subject matter experts in biomedical research and suggest that the same approach should be generally applicable to articles published in all areas of science. A beta version of iCite, our web tool for calculating Relative Citation Ratios of articles listed in PubMed, is available at https://icite.od.nih.gov.
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              Using publication metrics to highlight academic productivity and research impact.

              This article provides a broad overview of widely available measures of academic productivity and impact using publication data and highlights uses of these metrics for various purposes. Metrics based on publication data include measures such as number of publications, number of citations, the journal impact factor score, and the h-index, as well as emerging metrics based on document-level metrics. Publication metrics can be used for a variety of purposes for tenure and promotion, grant applications and renewal reports, benchmarking, recruiting efforts, and administrative purposes for departmental or university performance reports. The authors also highlight practical applications of measuring and reporting academic productivity and impact to emphasize and promote individual investigators, grant applications, or department output. © 2014 by the Society for Academic Emergency Medicine.

                Author and article information

                Clin Transl Sci
                Clin Transl Sci
                Clinical and Translational Science
                John Wiley and Sons Inc. (Hoboken )
                27 February 2022
                June 2022
                : 15
                : 6 ( doiID: 10.1111/cts.v15.6 )
                : 1387-1392
                [ 1 ] Emory University School of Medicine Georgia Clinical and Translational Science Alliance Atlanta Georgia USA
                [ 2 ] Emory University Rollins School of Public Health Atlanta Georgia USA
                Author notes
                [*] [* ] Correspondence

                Nicole Llewellyn, Georgia Clinical and Translational Science Alliance, Emory University School of Medicine, 1440 Clifton Road NE, Atlanta, GA 30322, USA.

                Email: Nicole.Llewellyn@ 123456emory.edu

                © 2022 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                : 05 January 2022
                : 10 November 2021
                : 29 January 2022
                Page count
                Figures: 1, Tables: 1, Pages: 6, Words: 3671
                Brief Reports
                Custom metadata
                June 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:15.06.2022



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