Literature DB >> 29445319

Quantifying the uptake of user-written commands over time.

Babak Choodari-Oskooei1, Tim P Morris2.   

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.

Entities:  

Keywords:  SSC; dm0086; impact; ssccount

Year:  2016        PMID: 29445319      PMCID: PMC5808829     

Source DB:  PubMed          Journal:  Stata J        ISSN: 1536-867X            Impact factor:   2.637


  4 in total

1.  Knowledge translation in biostatistics: a survey of current practices, preferences, and barriers to the dissemination and uptake of new statistical methods.

Authors:  Eleanor M Pullenayegum; Robert W Platt; Melanie Barwick; Brian M Feldman; Martin Offringa; Lehana Thabane
Journal:  Stat Med       Date:  2015-08-25       Impact factor: 2.373

Review 2.  The rise of multiple imputation: a review of the reporting and implementation of the method in medical research.

Authors:  Panteha Hayati Rezvan; Katherine J Lee; Julie A Simpson
Journal:  BMC Med Res Methodol       Date:  2015-04-07       Impact factor: 4.615

3.  Tuning multiple imputation by predictive mean matching and local residual draws.

Authors:  Tim P Morris; Ian R White; Patrick Royston
Journal:  BMC Med Res Methodol       Date:  2014-06-05       Impact factor: 4.615

4.  Measuring the impact of methodological research: a framework and methods to identify evidence of impact.

Authors:  Valerie C Brueton; Claire L Vale; Babak Choodari-Oskooei; Rachel Jinks; Jayne F Tierney
Journal:  Trials       Date:  2014-11-27       Impact factor: 2.279

  4 in total
  1 in total

1.  Dissemination of novel biostatistics methods: Impact of programming code availability and other characteristics on article citations.

Authors:  Amy E Wahlquist; Lutfiyya N Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J Nietert
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

  1 in total

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