Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data is a research paper published in Journal of Clinical and Translational Science (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
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Linked data & code
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DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βNCATS NIH HHS
Grant: UM1 TR004927
NCATS NIH HHS
Grant: UM1 TR004405
NCATS NIH HHS
Grant: UM1 TR004556
FWCI
1.07
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data