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Using Google Scholar to track the scholarly output of research groups

INTRODUCTION: It is often necessary to demonstrate the impact of a research program over time both within and beyond institutions. However, it is difficult to accurately track the publications of research groups over time without significant effort. A simple, scalable, and economical way to track pu...

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Autores principales: Thoma, Brent, Chan, Teresa M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bohn Stafleu van Loghum 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565647/
https://www.ncbi.nlm.nih.gov/pubmed/31102192
http://dx.doi.org/10.1007/s40037-019-0515-4
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author Thoma, Brent
Chan, Teresa M
author_facet Thoma, Brent
Chan, Teresa M
author_sort Thoma, Brent
collection PubMed
description INTRODUCTION: It is often necessary to demonstrate the impact of a research program over time both within and beyond institutions. However, it is difficult to accurately track the publications of research groups over time without significant effort. A simple, scalable, and economical way to track publications from research groups and their metrics would address this challenge. METHODS: Google Scholar automatically tracks the scholarly output and citation counts of individual researchers. We created Google Scholar profiles to track the scholarly productivity of five research groups: an institutional educational research program, a division of emergency medicine, a department of emergency medicine, a national educational scholarship working group, and an international organization dedicated to online education. We added the publications of each group member to their respective group Google Scholar profile and a junior faculty member monitored the citations that were suggested. RESULTS: Google Scholar tracked a diverse collection of five research groups over 6–36 months. In addition to having different organizational structures and purposes, the groups varied in size, consisting of 8–60 researchers, and prolificacy, with group citation counts between 1006–58,380 and group h‑indexes ranging from 19–101. DISCUSSION: We anticipate that as this innovation becomes better known it will increasingly be adopted by traditional and non-traditional research groups to easily track their productivity and impact. Additional initiatives will be needed to standardize reporting guidelines within and between institutions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40037-019-0515-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-65656472019-06-28 Using Google Scholar to track the scholarly output of research groups Thoma, Brent Chan, Teresa M Perspect Med Educ Show and Tell INTRODUCTION: It is often necessary to demonstrate the impact of a research program over time both within and beyond institutions. However, it is difficult to accurately track the publications of research groups over time without significant effort. A simple, scalable, and economical way to track publications from research groups and their metrics would address this challenge. METHODS: Google Scholar automatically tracks the scholarly output and citation counts of individual researchers. We created Google Scholar profiles to track the scholarly productivity of five research groups: an institutional educational research program, a division of emergency medicine, a department of emergency medicine, a national educational scholarship working group, and an international organization dedicated to online education. We added the publications of each group member to their respective group Google Scholar profile and a junior faculty member monitored the citations that were suggested. RESULTS: Google Scholar tracked a diverse collection of five research groups over 6–36 months. In addition to having different organizational structures and purposes, the groups varied in size, consisting of 8–60 researchers, and prolificacy, with group citation counts between 1006–58,380 and group h‑indexes ranging from 19–101. DISCUSSION: We anticipate that as this innovation becomes better known it will increasingly be adopted by traditional and non-traditional research groups to easily track their productivity and impact. Additional initiatives will be needed to standardize reporting guidelines within and between institutions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40037-019-0515-4) contains supplementary material, which is available to authorized users. Bohn Stafleu van Loghum 2019-05-17 2019-06 /pmc/articles/PMC6565647/ /pubmed/31102192 http://dx.doi.org/10.1007/s40037-019-0515-4 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Show and Tell
Thoma, Brent
Chan, Teresa M
Using Google Scholar to track the scholarly output of research groups
title Using Google Scholar to track the scholarly output of research groups
title_full Using Google Scholar to track the scholarly output of research groups
title_fullStr Using Google Scholar to track the scholarly output of research groups
title_full_unstemmed Using Google Scholar to track the scholarly output of research groups
title_short Using Google Scholar to track the scholarly output of research groups
title_sort using google scholar to track the scholarly output of research groups
topic Show and Tell
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565647/
https://www.ncbi.nlm.nih.gov/pubmed/31102192
http://dx.doi.org/10.1007/s40037-019-0515-4
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