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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13756-021-00891-1

https://doi.org/10.1186/s13756-021-00891-1

Enhancing engagement beyond the conference walls: analysis of Twitter use at #ICPIC2019 infection prevention and control conference

Cited by: 6
Author(s): Romain Martischang, Ermira Tartari, Claire Kilpatrick, Graham Mackenzie, Vanessa Carter, Enrique Castro-Sánchez, Hilda Márquez-Villarreal, Jonathan A. Otter, Eli N. Perencevich, Denise Silber, Julie Storr, Jason A. Tetro, Andreas Voß, Didier Pittet
Published: over 4 years ago

Software Mentions 8

cran: rtweet
Collecting Twitter Data
Papers that mentioned: 17
Very Likely Science (100)
cran: SnowballC
Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library
Papers that mentioned: 14
Very Likely Science (95)
cran: tidytext
Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Papers that mentioned: 26
Very Likely Science (100)
cran: tm
Text Mining Package
Papers that mentioned: 94
Very Likely Science (75)
cran: topicmodels
Topic Models
Papers that mentioned: 5
Very Likely Science (75)
pypi: tidytext
Text processing with pandas DataFrames.
Papers that mentioned: 26
Very Likely Science (85)
pypi: tm
Topic Maps
Papers that mentioned: 94
Very Likely Science (65)
pypi: topicmodels
A package for topic modelling in python.
Papers that mentioned: 5
Very Likely Science (75)