Evidence map›Paper›PMID 28480055›Full record

ArticleJournal of clinical and translational science2017

Feasibility of common bibliometrics in evaluating translational science.

M Schneider, C M Kane, J Rainwater, L Guerrero, G Tong, S R Desai, W Trochim

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Methods for identifying biomedical translation: a systematic review.American journal of translational research · 2022
    Review
  6. Article
  7. Article
  8. Practical publication metrics for academics.Clinical and translational science · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Bibliometric Analysis of Electronic Cigarette Publications: 2003⁻2018.International journal of environmental research and public health · 2019
    Article
  15. The relative citation ratio: what is it and why should medical librarians care?Journal of the Medical Library Association : JMLA · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

M SchneiderSchool of Social Ecology, Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
C M KaneCornell Office for Research on Evaluation, Weill Cornell Medical College, Ithaca, New York, USA.
J RainwaterClinical and Translational Science Center, University of California Davis, Davis, California, USA.
L GuerreroGeneral Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
G TongClinical and Translational Research Institute, University of California, San Francisco, CA, USA.
S R DesaiDivision of Cardiology, UC San Diego Department of Medicine, San Diego, California, USA.
W TrochimCornell Office for Research on Evaluation, Weill Cornell Medical College, Ithaca, New York, USA.

Funding

Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
San Diego Clinical and Translational Research InstituteUL1TR000100 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2015
$19.7M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000100NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR000457NCATS NIH HHS UL1 TR001414
6 · The paper itself

Abstract

introductionA pilot study by 6 Clinical and Translational Science Awards (CTSAs) explored how bibliometrics can be used to assess research influence.

methodsEvaluators from 6 institutions shared data on publications (4202 total) they supported, and conducted a combined analysis with state-of-the-art tools. This paper presents selected results based on the tools from 2 widely used vendors for bibliometrics: Thomson Reuters and Elsevier.

resultsBoth vendors located a high percentage of publications within their proprietary databases (>90%) and provided similar but not equivalent bibliometrics for estimating productivity (number of publications) and influence (citation rates, percentage of papers in the top 10% of citations, observed citations relative to expected citations). A recently available bibliometric from the National Institutes of Health Office of Portfolio Analysis, examined after the initial analysis, showed tremendous potential for use in the CTSA context.

conclusionDespite challenges in making cross-CTSA comparisons, bibliometrics can enhance our understanding of the value of CTSA-supported clinical and translational research.

Indexed as

CTSAMetricsPublications

Identifiers

PMID28480055
PMCPMC5408837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.