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Clusters of CTS Open Access (recommended)

In a preliminary assessment of the CTS literature, natural language processing techniques were used to create a term co-occurrence network based on publications citing CTSA U54 awards through 2016. Relevant and non-relevant terms were distinguished algorithmically to yield a list of over 2K most-frequently occurring terms.

Descriptions

Resource type(s)
Image
Keyword
Scientometrics
CTSA
Rights
Attribution-ShareAlike 3.0 United States

Creator
Holmes, Kristi Lee
Mohammadi, Ehsan
Gutzman, Karen E
Shaw, Pamela L
Digital Publisher
Galter Health Sciences Library, Feinberg School of Medicine, Northwestern University
Date Created
2017-04-08
Language
English
Subject: MESH
Translational Medical Research
Bibliometrics
Location
Chicago, Illinois, United States
Grants and funding
UL1TR001422
DOI
10.18131/G3VG8F
ARK
ark:/c8131/g3vg8f

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File size: 1435.9 kB