Evidence map›Paper›PMID 31435193›Full record

ArticleThe journal of research administration2018

Assessing Research Collaboration through Co-authorship Network Analysis.

Jesse Fagan, Katherine S Eddens, Jennifer Dolly, Nathan L Vanderford, Heidi Weiss, Justin S Levens

Open access · greenAbstract read
In one paragraph

Article in The journal of research administration, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

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  14. Current Status and Trends in Research on Caries Diagnosis: A Bibliometric Analysis.International journal of environmental research and public health · 2022
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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

6 authors at 3 institutions in 1 country.

Jesse FaganAnderson School of Management, University of New Mexico, Albuquerque, NM, USA.
Katherine S EddensIndiana University Network Science Institute, Indiana University, Bloomington, IN, USA.
Jennifer DollyMarkey Cancer Center, College of Medicine, University of Kentucky, Lexington, KY, USA.
Nathan L VanderfordDepartment of Toxicology and Cancer Biology and the Markey Cancer Center, College of Medicine, University of Kentucky, Lexington, KY, USA.
Heidi WeissDepartment of Surgery and the Markey Cancer Center, College of Medicine, University of Kentucky, Lexington, KY, USA.
Justin S LevensMarkey Cancer Center, College of Medicine, University of Kentucky, Lexington, KY, USA.
University of Kentucky · USIndiana University Bloomington · USUniversity of New Mexico · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 2013 to 2026
$38.3M
Supplement for Kentucky BIRCWH Program: Training the Next Generation of Women's Health Scholars: Dr. ConnerK12DA035150 · NIDA · UNIVERSITY OF KENTUCKY · PI Thomas E Curry · 2012 to 2026
$9.0M
NCI NIH HHS P30 CA177558NIDA NIH HHS K12 DA035150
6 · The paper itself

Abstract

Interdisciplinary research collaboration is needed to perform transformative science and accelerate innovation. The Science of Team Science strives to investigate, evaluate, and foster team science, including institutional policies that may promote or hinder collaborative interdisciplinary research and the resources and infrastructure needed to promote team science within and across institutions. Social network analysis (SNA) has emerged as a useful method to measure interdisciplinary science through the evaluation of several types of collaboration networks, including co-authorship networks. Likewise, research administrators are responsible for conducting rigorous evaluation of policies and initiatives. Within this paper, we present a case study using SNA to evaluate inter-programmatic collaboration (evidenced by co-authoring scientific papers) from 2007-2014 among scientists who are members of four formal research programs at an NCI-designated Cancer Center, the Markey Cancer Center (MCC) at the University of Kentucky. We evaluate change in network descriptives over time and implement separable temporal exponential-family random graph models (STERGMs) to estimate the effect of author and network variables on the tendency to form a co-authorship tie. We measure the diversity of the articles published over time (Blau's Index) to understand whether the changes in the co-authorship network are reflected in the diversity of articles published by research members. Over the 8-year period, we found increased inter-programmatic collaboration among research members as evidenced by co-authorship of published scientific papers. Over time, MCC Members collaborated more with others outside of their research program and outside their initial dense co-authorship groups, however tie formation continues to be driven by co-authoring with individuals of the same research program and academic department. Papers increased in diversity over time on all measures with the exception of author gender. This inter-programmatic research was fostered by policy changes in cancer center administration encouraging interdisciplinary research through both informal (e.g., annual retreats, seminar series) and formal (e.g., requiring investigators from more than two research programs on applications for pilot funding) means. Within this cancer center, interdisciplinary co-authorship increased over time as policies encouraging this collaboration were implemented. Yet, there is room for improvement in creating more interdisciplinary and diverse ties between research program members.

Indexed as

co-authorshipdiversity in collaborationinterdisciplinary collaborationresearch administration policyscience of team sciencesocial network analysis

Identifiers

PMID31435193
PMCPMC6703830
OpenAlexW2887062715

What OpenQuestion holds

Textmetadata
LicenceTDM
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.