Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine

ABSTRACT INTRODUCTIONMeasurement of family medicine research productivity has lacked the replicable methodology needed to document progress. AIMIn this study, we compared three methods: (1) faculty-to-publications; (2) publications-to-faculty; and (3) department-reported publications. METHODSIn this...

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Main Authors: Susan M. Dovey, Stephen Petterson, Daniel McCorry, Tanvir Chowdhury Turin, Bernard Ewigman, Andrew W. Bazemore, Winston Liaw
Format: Article
Language:English
Published: CSIRO Publishing 2020-01-01
Series:Journal of Primary Health Care
Subjects:
Online Access:https://www.publish.csiro.au/hc/pdf/HC19098
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spelling doaj-aa6651a72fd74ecba475852c429904432021-05-26T05:01:53ZengCSIRO PublishingJournal of Primary Health Care1172-61562020-01-01122149158HC19098Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family MedicineSusan M. Dovey0Stephen Petterson1Daniel McCorry2Tanvir Chowdhury Turin3Bernard Ewigman4Andrew W. Bazemore5Winston Liaw6Royal New Zealand College of General Practitioners, Wellington, New ZealandRobert Graham Center, Policy Studies in Family Medicine and Primary Care, Washington DC, USAReid Hospital and Health Care Services, Richmond, Indiana, USADepartment of Family Medicine, University of Calgary, Calgary AB T2N 4N1, CanadaDepartment of Family Medicine, University of Chicago & NorthShore University Health System, Chicago, IL 60637, USAAmerican Board of Family Medicine in Lexington, Kentucky, USA; and Center for Professionalism and Value in Health Care in Washington, DC, USARobert Graham Center, Policy Studies in Family Medicine and Primary Care, Washington DC, USA; and Department of Health Systems and Population Health Sciences, University of Houston, College of Medicine, Houston, TX 77204, USA; and Corresponding author. Email: winstonrliaw@gmail.comABSTRACT INTRODUCTIONMeasurement of family medicine research productivity has lacked the replicable methodology needed to document progress. AIMIn this study, we compared three methods: (1) faculty-to-publications; (2) publications-to-faculty; and (3) department-reported publications. METHODSIn this cross-sectional analysis, publications in peer-reviewed, indexed journals for faculty in 13 US family medicine departments in 2015 were assessed. In the faculty-to-publications method, department websites to identify faculty and Web of Science to identify publications were used. For the publications-to-faculty method, PubMed's author affiliation field were used to identify publications, which were linked to faculty members. In the department-reported method, chairs provided lists of faculty and their publications. For each method, descriptive statistics to compare faculty and publication counts were calculated. RESULTSOverall, 750 faculty members with 1052 unique publications, using all three methods combined as the reference standard, were identified. The department-reported method revealed 878 publications (84%), compared to 616 (59%) for the faculty-to-publications method and 412 (39%) for the publication-to-faculty method. Across all departments, 32% of faculty had any publications, and the mean number of publications per faculty was 1.4 (mean of 4.4 per faculty among those who had published). Assistant Professors, Associate Professors, Professors and Chairs accounted for 92% of all publications. DISCUSSIONOnline searches capture a fraction of publications, but also capture publications missed through self-report. The ideal methodology includes all three. Tracking publications is important for quantifying the return on our discipline's research investment.https://www.publish.csiro.au/hc/pdf/HC19098Professional developmentprimary health carehealth researchbibliometric analysis
collection DOAJ
language English
format Article
sources DOAJ
author Susan M. Dovey
Stephen Petterson
Daniel McCorry
Tanvir Chowdhury Turin
Bernard Ewigman
Andrew W. Bazemore
Winston Liaw
spellingShingle Susan M. Dovey
Stephen Petterson
Daniel McCorry
Tanvir Chowdhury Turin
Bernard Ewigman
Andrew W. Bazemore
Winston Liaw
Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
Journal of Primary Health Care
Professional development
primary health care
health research
bibliometric analysis
author_facet Susan M. Dovey
Stephen Petterson
Daniel McCorry
Tanvir Chowdhury Turin
Bernard Ewigman
Andrew W. Bazemore
Winston Liaw
author_sort Susan M. Dovey
title Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
title_short Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
title_full Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
title_fullStr Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
title_full_unstemmed Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
title_sort advancing bibliometric assessment of research productivity: an analysis of us departments of family medicine
publisher CSIRO Publishing
series Journal of Primary Health Care
issn 1172-6156
publishDate 2020-01-01
description ABSTRACT INTRODUCTIONMeasurement of family medicine research productivity has lacked the replicable methodology needed to document progress. AIMIn this study, we compared three methods: (1) faculty-to-publications; (2) publications-to-faculty; and (3) department-reported publications. METHODSIn this cross-sectional analysis, publications in peer-reviewed, indexed journals for faculty in 13 US family medicine departments in 2015 were assessed. In the faculty-to-publications method, department websites to identify faculty and Web of Science to identify publications were used. For the publications-to-faculty method, PubMed's author affiliation field were used to identify publications, which were linked to faculty members. In the department-reported method, chairs provided lists of faculty and their publications. For each method, descriptive statistics to compare faculty and publication counts were calculated. RESULTSOverall, 750 faculty members with 1052 unique publications, using all three methods combined as the reference standard, were identified. The department-reported method revealed 878 publications (84%), compared to 616 (59%) for the faculty-to-publications method and 412 (39%) for the publication-to-faculty method. Across all departments, 32% of faculty had any publications, and the mean number of publications per faculty was 1.4 (mean of 4.4 per faculty among those who had published). Assistant Professors, Associate Professors, Professors and Chairs accounted for 92% of all publications. DISCUSSIONOnline searches capture a fraction of publications, but also capture publications missed through self-report. The ideal methodology includes all three. Tracking publications is important for quantifying the return on our discipline's research investment.
topic Professional development
primary health care
health research
bibliometric analysis
url https://www.publish.csiro.au/hc/pdf/HC19098
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