Evidence map›Paper›PMID 36919432›Full record

ArticleProceedings. Biological sciences2023

Automated acoustic detection of Geoffroy's spider monkey highlights tipping points of human disturbance.

Jenna Lawson, George Rizos, Dui Jasinghe, Andrew Whitworth, Björn Schuller, Cristina Banks-Leite

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Article in Proceedings. Biological sciences, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Proceedings from the CIHBMC proceedings · 2026
    Article
  3. Article
  4. 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

6 authors.

Jenna LawsonGrantham Institute, Imperial College London, UK.ORCID 0000-0001-5166-5510
George RizosGLAM - Group on Language, Audio, & Music, Imperial College London, UK.
Dui JasingheDepartment of Life Sciences, Imperial College London, UK.
Andrew WhitworthOsa Conservation, Conservation Science Team, Washington, DC 20005, USA.
Björn SchullerGLAM - Group on Language, Audio, & Music, Imperial College London, UK.
Cristina Banks-LeiteDepartment of Life Sciences, Imperial College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As more land is altered by human activity and more species become at risk of extinction, it is essential that we understand the requirements for conserving threatened species across human-modified landscapes. Owing to their rarity and often sparse distributions, threatened species can be difficult to study and efficient methods to sample them across wide temporal and spatial scales have been lacking. Passive acoustic monitoring (PAM) is increasingly recognized as an efficient method for collecting data on vocal species; however, the development of automated species detectors required to analyse large amounts of acoustic data is not keeping pace. Here, we collected 35 805 h of acoustic data across 341 sites in a region over 1000 km

Indexed as

Ateles geoffroyiAcousticsAnimalsEndangered SpeciesForestsHumansautomated species detectorbioacousticspassive acoustic monitoringprimatethreatened speciestipping points

Identifiers

PMID36919432
PMCPMC10015327

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read36
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.