MOESM4 of Use of literature mining for early identification of emerging contaminants in freshwater resources
Julia Hartmann
Susanne Wuijts
Jan Hoek
Ana Roda Husman
10.6084/m9.figshare.9975734.v1
https://springernature.figshare.com/articles/dataset/MOESM4_of_Use_of_literature_mining_for_early_identification_of_emerging_contaminants_in_freshwater_resources/9975734
Additional file 4. Analysis for false negatives of random selection of 1750 articles from the 23,217 articles (published between 2006 and 2012) that did not match the pattern. Table containing the articlesâ Electronic Identifier (EID), authors, title, publication year, journal, volume, page information, citations, Digital Object Identifier (DOI), link to the article in ScopusÂŽ, abstract, the sentence that matched the pattern and whether the articles is considered to be a false negative or not.
2019-10-14 04:18:33
Chemical
Microbial
emerging pathogen
Text mining
R-based
Early warning
Water
Health
Emergence