High-Impact and Transformative Science Data - HITS Data

High-Impact and Transformative Science Data - HITS Data

Here we make available for anyone to use our HITS (High-Impact and Transformative Science) database that is described in Staudt et al 2018. This database contains 15,051 observations each of which represents aggregated statistics on one 5-year period between 1983 and 2012 for individual fields in biomedical science identified based on the National Library of Medicine’s Medical Subject Headings. We also make available the program used to produce the results in the published article.

Anyone using these data must acknowledge that the source of the data is Clarivate Analytics' Science Citation Index ExpandedTM (SCIE) and should cite the following article:

Staudt, J., Yu, H., Light, R. P.,Marschke, G., Börner, K., & Weinberg, B. (2017). High-Impact and Transformative Science Metrics: Definition, Exemplification, and Comparison.

Codebook
Stata
SAS
CSV
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README
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dta
sas7bdat
csv
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README

We also provide below sample versions of our micro datasets and code to produce our citation- and text-based HITS metrics.  The data for the text-based metrics are MEDLINE® data obtained from the National Library of Medicine.  Note that the NLM is not responsible for and in no way endorses these products, and the data provided do not reflect the most current and accurate data available from the NLM.  Anyone using these data and programs should cite Staudt et al. 2018

Contact data@nber.org with questions, comments, or suggestions.

Last Update July 20, 2018 Created by Jean Roth March 5, 2018