ArticleThe journal of research administration2018
Assessing Research Collaboration through Co-authorship Network Analysis.
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.
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.
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.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.
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- Support of Underrepresented and Early-Stage Faculty at a Research Center for Minority Institutions: A Social Network Analysis of Research Productivity over a Five-Year Period.Innovative higher education · 2025Article
- Visual analysis of research hotspots and emerging trends in the field of newly graduated nurses.Frontiers in medicine · 2025Review
- Flooding and health in Australia: a scoping review and coauthorship analysis of published research.BMJ open · 2024Article
- An Assessment Model for Agricultural Databases: The Arthropod Pesticide Resistance Database as a Case Study.Insects · 2024Article
- Bibliometric overview of the Tehran Lipid and Glucose Study (TLGS) publications from 2000 to 2022.Journal of diabetes and metabolic disorders · 2024Review
- Bibliometric and social network analysis of a Clinical and Translational Resource awardee: An Oklahoma experience 2014-2021.Journal of clinical and translational science · 2024Article
- Patterns of collaboration and knowledge generated by an Australian rural research centre over 20 years: a co-authorship network analysis.Health research policy and systems · 2023Article
- A scientometric analysis of global scientific literature on learning resources in higher education.Heliyon · 2023Article
- A mixed-methods analysis to understand the implementation of a multistakeholder research consortium: Environmental influences on child health outcomes (ECHO).Journal of clinical and translational science · 2023Article
- Current Status and Trends in Research on Caries Diagnosis: A Bibliometric Analysis.International journal of environmental research and public health · 2022Article
- Contribution of Iranian researchers in Alzheimer's disease research: A 10 years scientometric analysis.Journal of diabetes and metabolic disorders · 2021Review
- The Critical Studies of Fucoxanthin Research Trends from 1928 to June 2021: A Bibliometric Review.Marine drugs · 2021Review
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- Uncovering the dynamics in global carbon dioxide utilization research: a bibliometric analysis (1995-2019).Environmental science and pollution research international · 2021Article
- Increasing collaborative research output between early-career health researchers in Africa: lessons from the CARTA fellowship program.Global health action · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
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
Identifiers
31435193PMC6703830W2887062715What OpenQuestion holds
Registered trials
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.