Bibliometric mapping for current and potential collaboration detection.

Journal Article (Journal Article)

This project characterized current research and collaboration patterns in pain research at one institution after researchers working on a grant application approached the library to better understand current institutional research and publishing about that topic. To address this question, library staff developed a collaborative, multi-tool process for bibliometric analysis and network visualization. The primary data source used was a preexisting, curated EndNote library of institutional publications. This EndNote library was searched using keywords relevant to the topic in order to create two sublibraries: one on pain and one specifically on musculoskeletal pain. Article data from each library were exported into InCites to create a benchmarking analysis. In addition, article data were imported into VOSviewer to visualize collaboration networks by author and create concept maps. Researchers were consulted to identify and label resulting clusters in the VOSviewer visualizations. This project successfully generated useful visualizations via bibliometric mapping that characterized current and potential pain research at the institution. The analysis was included in a grant proposal for funding a center for pain research and for catalyzing further collaborative research.

Full Text

Duke Authors

Cited Authors

  • Wrigley, J; Carden, V; von Isenburg, M

Published Date

  • October 2019

Published In

Volume / Issue

  • 107 / 4

Start / End Page

  • 597 - 600

PubMed ID

  • 31607819

Pubmed Central ID

  • PMC6774537

Electronic International Standard Serial Number (EISSN)

  • 1558-9439

International Standard Serial Number (ISSN)

  • 1536-5050

Digital Object Identifier (DOI)

  • 10.5195/jmla.2019.764


  • eng