Evidence map›Paper›PMID 35078355›Full record

ArticleProceedings. Biological sciences2022

Decoding alarm signal propagation of seed-harvester ants using automated movement tracking and supervised machine learning.

Xiaohui Guo, Michael R Lin, Asma Azizi, Lucas P Saldyt, Yun Kang, Theodore P Pavlic, Jennifer H Fewell

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Division of labour in colony defence in a clonal ant.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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

7 authors at 2 institutions in 1 country.

Xiaohui GuoSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-8256-2346
Michael R LinMathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-6313-1505
Asma AziziDepartment of Mathematics, Kennesaw State University, Marietta, GA, USA.ORCID 0000-0002-6310-2923
Lucas P SaldytSchool of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
Yun KangMathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, USA.
Theodore P PavlicSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-7073-6932
Jennifer H FewellSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Arizona State University · USKennesaw State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alarm signal propagation through ant colonies provides an empirically tractable context for analysing information flow through a natural system, with useful insights for network dynamics in other social animals. Here, we develop a methodological approach to track alarm spread within a group of harvester ants,

Indexed as

AntsMovementSupervised Machine LearningAnimalsReproductionalarm behaviourbehaviour trackinginformation flow networkssocial insectssupervised machine learning

Identifiers

PMID35078355
PMCPMC8790334
OpenAlexW4210324472

What OpenQuestion holds

Textmetadata
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.