| Literature DB >> 30154108 |
Abstract
Entities:
Year: 2018 PMID: 30154108 PMCID: PMC6124566 DOI: 10.1242/bio.037325
Source DB: PubMed Journal: Biol Open ISSN: 2046-6390 Impact factor: 2.422
Fig. 1.Analysis of journal articles published between 1 January 2000 and 31 December 2017. All publication data were downloaded from NCBI using the esearch/efetch commands from Entrez Direct E-utilities (Kans, 2010). (A) The number of papers published (R2=0.79, P<0.001). (B) The number of authors (R2=0.94, P<0.001). (C) The number of authors per paper (R2=0.93, P<0.001). (D) The number of countries listed in authors’ affiliations (R2=0.82, P<0.001). (E) The Theil index of international publication inequality (R2=0.98, P<0.001). (F) The number of genera listed in journal article abstracts (R2=0.89, P<0.001). (G) The Theil index of taxonomic inequality (R2=0.63, P<0.001). For simplicity's sake, all data were fit using simple linear models using the lm package in R (R Core Team, 2017). Adjusted R2 values with associated P-values are provided.
Fig. 2.Analysis of word content of journal article abstracts published between 1 January 2000 and 31 December 2017. (A) Minimum evolution phylogenetic tree constructed from pairwise Spearman correlation coefficients (ρ2) of abstract word frequencies from each year. Correlation coefficients were converted to dissimilarity scores (distances) for phylogenetic inference using FastMe (Lefort et al. 2015). Distances between two years α and β were evaluated as d(α,β)=1–ρ2. (B) The two largest clusters obtained from clust (Abu-Jamous and Kelly, 2018preprint) analysis of the abstract word frequency data. (C) Wordle (http://www.wordle.net/) of the 100 most frequently used words from the decreasing cluster. (D) Wordle of the 100 most frequently used words from the increasing cluster.