ArticleConservation biology : the journal of the Society for Conservation Biology2025
Language barriers in conservation science citation networks.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Meeting Report on the Assisted Gene Flow and Climate Change Responses Workshop, Golden Gate National Recreation Area, CA, USA, 5-7 March 2025.Evolutionary applications · 2026Article
- What evidence exists on the drivers, ecological and socio-economic outcomes, and distribution of hunting in Peru: a systematic map protocol.Environmental evidence · 2026Article
- BioWikiNet: Multilingual wikipedia taxonomic networks aligned with the GBIF backbone taxonomy.Scientific data · 2026Article
- Language barriers in conservation science citation networks.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Using relevant scientific evidence is crucial to effectively conserve species and ecosystems worldwide. Currently, evidence that is available only in non-English languages is severely underutilized. We examined many underutilized non-English languages in the conservation evidence literature and factors that facilitate the use of non-English-language evidence based on citation patterns of articles testing the effectiveness of conservation actions published in English and 15 non-English languages. Multivariate models incorporated explanatory variables, such as lexical distance from English, availability of an English abstract, study design complexity, conservation status of studied species, and language of citing articles. Non-English-language articles received significantly fewer English citations (i.e., citations in English-language articles) than English-language articles. Hungarian, Polish, Korean, and Russian articles were particularly undercited in English. Despite fewer English citations, many non-English-language articles had high citation rates in their own languages, indicating their value in local conservation communities. Non-English-language articles with English abstracts received more English citations. The content of the article, such as a more robust study design or assessment of threatened species, was not significantly associated with the number of English citations received. Our findings highlight the importance of increasing the visibility and recognition of non-English-language articles, especially those in currently underutilized languages, for a more comprehensive understanding of global conservation challenges. Providing a translated English abstract has the potential to increase readership of an article by increasing the accessibility to those who can understand English.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.