Morris, TP;
Choodari-Oskooei, B;
(2016)
Quantifying the uptake of user-written commands over time.
The Stata Journal
, 16
(1)
pp. 88-95.
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Abstract
A major factor in the uptake of new statistical methods is the availability of user-friendly software implementations. One attractive feature of Stata is that users can write their own commands and release them to other users via Statistical Software Components at Boston College. Authors of statistical programs do not always get adequate credit, because programs are rarely cited properly. There is no obvious measure of a program’s impact, but researchers are under increasing pressure to demonstrate the impact of their work to funders. In addition to encouraging proper citation of software, the number of downloads of a user-written package can be regarded as a measure of impact over time. In this article, we explain how such information can be accessed for any month from July 2007 and summarized using the new ssccount command.
| Type: | Article |
|---|---|
| Title: | Quantifying the uptake of user-written commands over time |
| Location: | US |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.stata-journal.com/article.html?article=... |
| Language: | English |
| Additional information: | Notwithstanding the Stata Journal copyright notice, StataCorp and the Stata Journal hereby agree that an electronic copy (PDF) of the article "Quantifying the uptake of user-written commands over time". Choodari-Oskooei, B., and T. P. Morris. Stata Journal 16: 88-95. can be made available to all by open access. http://www.stata-journal.com |
| Keywords: | dm0086, ssccount, ssc, impact |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1477211 |
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