BABIBPLOT: Stata module to plot two graph types which are rooted in Bland-Altman plots using journal and paper percentiles

Lutz Bornmann ()

Statistical Software Components from Boston College Department of Economics

Abstract: babibplot plots paper and journal percentiles as two graph types which are both rooted in Bland-Altman plots (Bland and Altman, Lancet, 1986). Bland-Altman plots are a standard instrument in the validation of clinical measurement. The graphs can be used in research evaluation to visualize the publication performance of single researchers. The graph types have been introduced by Bornmann and Haunschild (2017) who explain them in detail. The paper percentile of a focal paper is an impact value below which a certain share of papers falls. The papers for comparison have been published in the same subject category and publication year as the focal paper. The journal percentile refers to the journal, in which a single paper appeared. It is an impact value below which a certain share of journals falls. The journals for comparison are from the same subject category and publication year as the focal journal.

Language: Stata
Requires: Stata version 11
Keywords: Bland-Altman; graphics; plot; research impact (search for similar items in EconPapers)
Date: 2017-07-16, Revised 2017-11-05
Note: This module should be installed from within Stata by typing "ssc install babibplot". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/b/babibplot.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/babibplot.sthlp help file (text/plain)

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