Evidence map›Paper›PMID 40535939›Full record

ArticleRoyal Society open science2025

Circadian activity predicts breeding phenology in the Asian burying beetle

Hao Chen, Dustin R Rubenstein, Guan-Shuo Mai, Chung-Fan Chang, Sheng-Feng Shen

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Hao ChenBiodiversity Research Center, Academia Sinica, Taipei City, Taiwan.ORCID https://orcid.org/0000-0003-0906-795X
Dustin R RubensteinDepartment of Ecology, Evolution & Environmental Biology, Columbia University in the City of New York, New York, USA.ORCID https://orcid.org/0000-0002-4999-3723
Guan-Shuo MaiBiodiversity Research Center, Academia Sinica, Taipei City, Taiwan.
Chung-Fan ChangBiodiversity Research Center, Academia Sinica, Taipei City, Taiwan.
Sheng-Feng ShenBiodiversity Research Center, Academia Sinica, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-0631-6343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change continues to alter breeding phenology in a range of plant and animal species across the globe. Traditional methods for assessing when organisms reproduce often rely on time-intensive field observations or destructive sampling, creating an urgent need for efficient, non-invasive approaches to assess reproductive timing. Here, we examined three populations of the Asian burying beetle

Indexed as

behavioural monitoringbreeding phenologyburying beetlecircadian activitymachine learning

Identifiers

PMID40535939
PMCPMC12173505

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.