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Biological research in Papua New Guinea: a publication activity analysis
Novotny, V.; Toko, P. S.
2021-08-27
scientific communication and education
10.1101/2021.08.25.457669
bioRxiv
Show abstract
The Nature Index and the Web of Science databases are used to analyse the publication patterns in life sciences in Papua New Guinea, aiming to identify the ways of improving the countrys research output.
Matching journals
●Non-profit
◐University press
○Commercial
The top 1 journal accounts for 50% of the predicted probability mass.
1
PLOS ONE
●
5266 papers in training set
Top 0.8%
52.7%
Similar papers in this journal
- Balancing the supply and demand for taxonomy: an analysis of European taxonomic capacity and policy needs. 94%
- Evaluating the data quality of iNaturalist termite records 94%
- Spatial distribution and research trend of illegal activities and the factors associated with wild mammal population declines in protected areas 94%
50% of probability mass above
4
Ecology and Evolution
○
267 papers in training set
Top 2%
4.2%
Similar papers in this journal
- Historical demography and species distribution models shed light on past speciation in primates of northeast India 91%
- Breaking barriers: The effect of protected characteristics and their intersectionality on career transition in academics 91%
- Changes over a 10-year Period in the Distribution Ranges and Genetic Hybridization of Three Pelophylax Pond Frogs in Central Japan 91%
5
Royal Society Open Science
●
214 papers in training set
Top 2%
3.2%
Similar papers in this journal
- Characterising the spatio-temporal threats, conservation hotspots, and conservation gaps for the most extinction-prone bird family (Aves: Rallidae) 91%
- The evolution of coordination: A phylogenetic meta-analysis and systematic review 90%
- Mapping threatened Thai bovids provides opportunities for improved conservation outcomes in Asia 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.