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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
Mohammadi, Ehsan
Gutzman, Karen E
Shaw, Pamela L
Publisher
DigitalHub. Galter Health Sciences Library
Date Created
2017-04-08
Language
English
Subject: MESH
Translational Medical Research
Bibliometrics
Grants and funding
UL1TR001422
DOI
10.18131/G3VG8F
ARK
ark:/c8131/g3vg8f

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