Evidence map›Paper›PMID 38687200›Full record

ArticleeLife2024

Synthetic analysis of trophic diversity and evolution in Enantiornithes with new insights from Bohaiornithidae.

Case Vincent Miller, Jen A Bright, Xiaoli Wang, Xiaoting Zheng, Michael Pittman

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.8field-weighted citation impact, top 6% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Diet of bird-like troodontid dinosaurs: synthesis of a contentious clade.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. 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

5 authors at 2 institutions in 4 countries.

Case Vincent MillerDepartment of Earth Sciences, The University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-6467-0199
Jen A BrightSchool of Natural Sciences, University of Hull, Hull, United Kingdom.ORCID https://orcid.org/0000-0002-9284-9591
Xiaoli WangInstitute of Geology and Paleontology, Linyi University, Linyi, China.
Xiaoting ZhengInstitute of Geology and Paleontology, Linyi University, Linyi, China.
Michael PittmanSchool of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-6149-3078
Chinese University of Hong Kong · HKLinyi University · CN

Funding

Research Grant Council of Hong Kong's General Research Fund 17103315Research Grant Council of Hong Kong's General Research Fund 17105221Research Grant Council of Hong Kong's General Research Fund 17120920Taishan Scholars Program of Shandong Province Ts20190954
6 · The paper itself

Abstract

Enantiornithines were the dominant birds of the Mesozoic, but understanding of their diet is still tenuous. We introduce new data on the enantiornithine family Bohaiornithidae, famous for their large size and powerfully built teeth and claws. In tandem with previously published data, we comment on the breadth of enantiornithine ecology and potential patterns in which it evolved. Body mass, jaw mechanical advantage, finite element analysis of the jaw, and traditional morphometrics of the claws and skull are compared between bohaiornithids and living birds. We find bohaiornithids to be more ecologically diverse than any other enantiornithine family:

Indexed as

Biological EvolutionBirdsAnimalsDietFeeding BehaviorFossilsJawPhylogenyavialaebirdsdietevolutionary biologyfinite element analysismechanical advantagemorphometrics

Identifiers

PMID38687200
PMCPMC11060716
OpenAlexW4386632035

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.