ArticleScientific data2026
BioWikiNet: Multilingual wikipedia taxonomic networks aligned with the GBIF backbone taxonomy.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BioWikiNet is a multilingual dataset describing biodiversity representation across 11 Wikipedia language editions selected for their global reach and relevance to biodiversity-rich regions. The dataset includes 1,266,215 taxonomic articles linked to 751,843 unique taxa from the GBIF Backbone Taxonomy, derived from January 2025 Wikipedia dumps and mapped via Wikidata identifiers. Each record contains article-level metadata (pageviews, edits, editors, creation dates, content metrics) combined with GBIF taxonomic classifications. The dataset provides 6,955,289 taxonomic hyperlinks connecting articles within and across language editions, along with three network-based indices-Species Connectivity Index, Core Index, and Excess Focus Index-that quantify the structural characteristics of taxonomic linkages. BioWikiNet enables transparent, reproducible analyses of biodiversity representation and editorial coverage across linguistic communities, serving as an open resource for biodiversity informatics, conservation culturomics, and multilingual knowledge equity research.
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.