Files in this item

FilesDescriptionFormat

application/pdf

application/pdfIDEALS-submission.pdf (184kB)
Correct submission filePDF

Description

Title:Expertise as an aspect of author contributions
Author(s):Mishra, Shubhanshu; Fegley, Brent D.; Diesner, Jana; Torvik, Vetle I.
Subject(s):Expertise
Author Contributions
Author profile
MEDLINE
Bibliometrics
INFORMETRIC
SCIENTOMETRIC
Science of Science
Abstract:Authors contribute a wide variety of intellectual efforts to a research paper, ranging from initial conceptualization to final analysis and reporting, and many journals today publish the allocated responsibilities and credits with the paper. An overarching yet unreported aspect of these responsibilities is relevant expertise, that is, past experience and knowledge about the phenomenon under study and the context/techniques used to study it. Here, we study author contributions from the perspective of relevant and complementary expertise based on past authorships "conceptual coverage" of the paper at hand. Using concepts from the the MeSH hierarchy assigned to 10.2 million papers in MEDLINE published during 1980-2009, we find that authors collectively cover the great majority of concepts, typically with one dominant author (most often in last position but frequently 2nd-to-last) and each additional author contributing complementary expertise. For example, 2-author papers fail to cover about 20\% of the concepts (i.e, are new to the authors) while 5-author papers fail to cover about 10\%, on average. The relative expertise contributions on multi-author papers vary systematically by career stage and author-position, and has changed over time. We also provide an online tool that provides a temporal profile of expertise contributions for any author in the Author-ity 2009 dataset: http://abel.lis.illinois.edu/legolas
Issue Date:2018-11-10
Citation Info:Mishra, Shubhanshu, Brent D. Fegley, Jana Diesner, and Vetle I. Torvik. 2018. “Expertise as an Aspect of Author Contributions.” In WORKSHOP ON INFORMETRIC AND SCIENTOMETRIC RESEARCH (SIG/MET). Vancouver.
Genre:Presentation / Lecture / Speech
Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/102050
Sponsor:National Institute on Aging of the NIH P01AG039347
Directorate for Education & Human Resources of the NSF 1348742
Date Available in IDEALS:2018-11-17


This item appears in the following Collection(s)

Item Statistics