ingmarboeschen / jatsdecoderevaluation Goto Github PK

This repository contains evaluation data and R-scripts for analyses with JATSdecoder presented in following papers:

• Böschen, I. (2021). Software review: The JATSdecoder package—extract metadata, abstract and sectioned text from NISO-JATS coded XML documents; Insights to PubMed central’s open access database. Scientometrics. https://doi.org/10.1007/s11192-021-04162-z. [link to repo]
• Böschen, I. (2021). Evaluation of JATSdecoder as an automated text extraction tool for statistical results in scientific reports. Scientific Reports 11, 19525. https://doi.org/10.1038/s41598-021-98782-3. [link to repo]
• Böschen, I. (2023). Evaluation of the extraction of methodological study characteristics with JATSdecoder. Scientific Reports 13, 139. https://doi.org/10.1038/s41598-022-27085-y. [link to repo]
• Böschen, I. (2023). Changes in methodological study characteristics in psychology between 2010-2021. PLOS ONE 18(5). https://doi.org/10.1371/journal.pone.0283353. [link to repo]
• Böschen, I. (submitted 2023). statcheck is flawed by design and no valid spell checker. [link to repo]

Note:
A minimal web app to extract statistical results from textual resources with get.stats() is hosted at:
https://get-stats.app.
An analysis of extracted study characteristics and individual article selection of articles linked in PubMed Centrals database is accessable here:
https://scianalyzer.com.