ArticleScientific data2025
TreeHub: a comprehensive dataset of phylogenetic trees.
Article in Scientific data, 2025. 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
4 authors.
Funding
Abstract
Phylogenetic relationships are crucial for solving various biological questions, serving as a fundamental knowledge in biology. However, the application of phylogenetic trees has been limited by inadequate coverage of updated published phylogenies and the scarcity of reliable comprehensive datasets. In this study, we present a novel approach for automatically extracting phylogenetic data and integrating relevant species information from scientific papers and public databases. On this basis, we constructed a dataset TreeHub, including 135,502 corresponding phylogenetic trees from 7,879 phylogenetic research articles across 609 academic journals. This database will serve as a reliable and accessible resource for the scientific community, accelerating innovations in biodiversity studies and evolutionary theory based on high-density data.
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.