Evidence map›Paper›PMID 40370610›Full record

ArticleRoyal Society open science2025

A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies.

Haohan Wang, Juliana Sterli, Vincent Dupret, Henning Blom, Annalisa Berta, Susan Turner, Daoming Han, Luyan Xu, Zhaohui Pan

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Haohan WangResearch Center of Natural History and Culture, Qujing Normal University, Qujing, Yunnan, People's Republic of China.ORCID https://orcid.org/0000-0002-2128-7894
Juliana SterliConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Museo Paleontológico Egidio Feruglio (MEF), Trelew, Argentina.ORCID https://orcid.org/0000-0003-2942-5558
Vincent DupretDepartment of Organismal Biology, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-6859-1041
Henning BlomDepartment of Organismal Biology, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-1257-0057
Annalisa BertaDepartment of Biology, San Diego State University, San Diego, CA, USA.ORCID https://orcid.org/0000-0001-7480-8799
Susan TurnerQueensland Museum Geosciences, Hendra, Australia.ORCID https://orcid.org/0000-0002-4239-1180
Daoming HanResearch Center of Natural History and Culture, Qujing Normal University, Qujing, Yunnan, People's Republic of China.ORCID https://orcid.org/0009-0007-6995-5322
Luyan XuSchool of Geography and Tourism, Qujing Normal University, Qujing, Yunnan, People's Republic of China.ORCID https://orcid.org/0009-0004-3715-6380
Zhaohui PanInstitute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0003-4321-3834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using 12 104 publications from 2014 to 2023 in the DeepBone database, this study employs bibliometric methods, including full-text latent Dirichlet allocation (LDA) modelling, co-occurrence network analysis and geographic mapping with ArcGIS, to examine three key aspects of vertebrate palaeontology development: geographic distribution of newly established taxa, gender demographics among researchers and research trends. Gender data were analysed using automated tools with manual verification to ensure accuracy, while methodological evolution was investigated through systematic text mining and classification. Among 8336 newly established taxa, mammals (34.72%) and fishes (29.76%) dominate, followed by reptiles (25.34%), birds (7.39%) and amphibians (2.80%). Geographic analysis reveals significant regional disparities, with the USA (13.50%) and China (13.32%) contributing the most, while Africa and Oceania remain under-represented (less than 10%). Gender analysis indicates a gradual increase in female representation from 22.78 to 27.20% over the decade, highlighting the imperative to address gender disparities in vertebrate palaeontology, thereby advancing equity in alignment with UNESCO Sustainable Development Goal 5. LDA topic modelling identifies 15 distinct research topics, encompassing evolutionary biology, cranial and skeletal morphology, dinosaur-bird evolution and human evolution, while co-occurrence analysis highlights the evolution of research methodologies, revealing strong interconnections between phylogenetic analysis (15%), traditional morphological analysis (12%) and high-resolution imaging techniques (9%).

Indexed as

bibliometric analysisgender gaplatent Dirichlet allocation topic modellingmethodological evolutionvertebrate palaeontology

Identifiers

PMID40370610
PMCPMC12074809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.