Evidence map›Paper›PMID 31725467›Full record

ArticleAcademic medicine : journal of the Association of American Medical Colleges2020

Approaches to Measuring Trends in Interdisciplinary Research Publications at One Academic Medical Center.

Christine M Weston, Mia S Terkowitz, Carol B Thompson, Daniel E Ford

Abstract read
In one paragraph

Article in Academic medicine : journal of the Association of American Medical Colleges, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Christine M WestonC.M. Weston is director of evaluation, Johns Hopkins Institute for Clinical and Translational Research, Johns Hopkins School of Medicine, Baltimore, Maryland. M.S. Terkowitz is senior research program coordinator, Johns Hopkins Institute for Clinical and Translational Research, Johns Hopkins School of Medicine, Baltimore, Maryland. C.B. Thompson is associate scientist, Johns Hopkins Biostatistics Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. D.E. Ford is the David M. Levine Professor of Medicine, director, Institute for Clinical and Translational Research, and vice dean for clinical investigation, Johns Hopkins School of Medicine, Baltimore, Maryland.
Mia S Terkowitz
Carol B Thompson
Daniel E Ford

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR003098
6 · The paper itself

Abstract

purposeTo determine if interdisciplinary research has increased between 2005 and 2015, based on an analysis of journal articles containing at least 1 author from Johns Hopkins University, and to compare different methods for determining the disciplinarity of research articles.

methodIn 2017-2018, 100 peer-reviewed biomedical science articles were randomly selected from years 2005, 2010, and 2015 and classified as unidisciplinary or interdisciplinary based on Scopus author affiliation data (method 1). The corresponding authors of the 2010 and 2015 articles were sent a survey asking them to describe the disciplines involved in their research (method 2) and to define their research as unidisciplinary or interdisciplinary based on provided definitions (method 3).

resultsThere was a statistically significant increase in the proportion of interdisciplinary articles in 2015 compared with both 2005 and 2010 (P = .02). Comparison of the 3 methods indicated that 45% of the articles were classified as interdisciplinary based on author affiliation data (method 1), 40% based on the corresponding author's description of the disciplines involved in their research (method 2), and 71% based on the corresponding author's definition of their article's disciplinarity (method 3). There was a statistically significant difference in the proportion of articles classified as interdisciplinary between methods 1 and 3 (P < .001) and between methods 2 and 3 (P < .001).

conclusionsThis study found that interdisciplinary research increased at Johns Hopkins University over the past decade and highlights the difference between corresponding authors' views of their own research and other methods for determining interdisciplinarity.

Indexed as

Academic Medical CentersHumansInterdisciplinary ResearchPublishingResearch PersonnelSurveys and Questionnaires

Identifiers

PMID31725467
PMCPMC7984854

What OpenQuestion holds

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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.