Evidence map›Paper›PMID 37324523›Full record

ArticleFrontiers in behavioral neuroscience2023

AlphaTracker: a multi-animal tracking and behavioral analysis tool.

Zexin Chen, Ruihan Zhang, Hao-Shu Fang, Yu E Zhang, Aneesh Bal, Haowen Zhou, Rachel R Rock, Nancy Padilla-Coreano, Laurel R Keyes, Haoyi Zhu and 4 more

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. bioRxiv : the preprint server for biology · 2026
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  13. DIPLOMAT: multi-animal tracking with efficient manual editing.bioRxiv : the preprint server for biology · 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

14 authors.

Zexin Chen *Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China.
Ruihan Zhang *Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China.
Hao-Shu Fang *Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China.
Yu E ZhangDepartment of Neurobiology, Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA, United States.
Aneesh BalDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, United States.
Haowen ZhouZhiyuan College, Shanghai Jiao Tong University, Shanghai, China.
Rachel R RockSalk Institute for Biological Studies, La Jolla, CA, United States.
Nancy Padilla-CoreanoSalk Institute for Biological Studies, La Jolla, CA, United States.
Laurel R KeyesSalk Institute for Biological Studies, La Jolla, CA, United States.
Haoyi ZhuDepartment of Computer Science, Shanghai Jiao Tong University, Shanghai, China.
Yong-Lu LiDepartment of Computer Science, Shanghai Jiao Tong University, Shanghai, China.
Takaki KomiyamaDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Kay M TyeSalk Institute for Biological Studies, La Jolla, CA, United States.
Cewu LuDepartment of Computer Science, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer vision has emerged as a powerful tool to elevate behavioral research. This protocol describes a computer vision machine learning pipeline called AlphaTracker, which has minimal hardware requirements and produces reliable tracking of multiple unmarked animals, as well as behavioral clustering. AlphaTracker pairs a top-down pose-estimation software combined with unsupervised clustering to facilitate behavioral motif discovery that will accelerate behavioral research. All steps of the protocol are provided as open-source software with graphic user interfaces or implementable with command-line prompts. Users with a graphical processing unit (GPU) can model and analyze animal behaviors of interest in less than a day. AlphaTracker greatly facilitates the analysis of the mechanism of individual/social behavior and group dynamics.

Indexed as

animal behavioranimal trackingbehavioral clusteringcomputer visionneuroscience

Identifiers

PMID37324523
PMCPMC10266280

What OpenQuestion holds

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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.