Evidence map›Paper›PMID 29967307›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018

Split between two worlds: automated sensing reveals links between above- and belowground social networks in a free-living mammal.

Jennifer E Smith, Denisse A Gamboa, Julia M Spencer, Sarah J Travenick, Chelsea A Ortiz, Riana D Hunter, Andy Sih

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 50 citations in OpenAlex.

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  9. Ecology and evolution of the social microbiome.Annual review of ecology, evolution, and systematics · 2024
    Article
  10. Article
  11. Indirect genetic effects for social network structure inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  17. Split between two worlds: automated sensing reveals links between above- and belowground social networks in a free-living mammal.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    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

7 authors at 2 institutions in 1 country.

Jennifer E SmithBiology Department, Mills College, 5000 MacArthur Blvd., Oakland, CA, 94631, USA jesmith@mills.edu.ORCID 0000-0002-3342-4454
Denisse A GamboaBiology Department, Mills College, 5000 MacArthur Blvd., Oakland, CA, 94631, USA.
Julia M SpencerBiology Department, Mills College, 5000 MacArthur Blvd., Oakland, CA, 94631, USA.
Sarah J TravenickBiology Department, Mills College, 5000 MacArthur Blvd., Oakland, CA, 94631, USA.
Chelsea A OrtizBiology Department, Mills College, 5000 MacArthur Blvd., Oakland, CA, 94631, USA.
Riana D HunterBiology Department, Mills College, 5000 MacArthur Blvd., Oakland, CA, 94631, USA.
Andy SihDepartment of Environmental Science and Policy, University of California Davis, One Shields Avenue, Davis, CA 95616, USA.
Mills College · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many animals socialize in two or more major ecological contexts. In nature, these contexts often involve one situation in which space is more constrained (e.g. shared refuges, sleeping cliffs, nests, dens or burrows) and another situation in which animal movements are relatively free (e.g. in open spaces lacking architectural constraints). Although it is widely recognized that an individual's characteristics may shape its social life, the extent to which architecture constrains social decisions within and between habitats remains poorly understood. Here we developed a novel, automated-monitoring system to study the effects of personality, life-history stage and sex on the social network structure of a facultatively social mammal, the California ground squirrel (

Indexed as

EcosystemSocial BehaviorAge FactorsAnimalsElectronic Data ProcessingFemaleMalePersonalityRemote Sensing TechnologySciuridaeSex FactorsSocial Networkingaffiliative behaviouranimal social networksautomated-monitoring systemground squirrel

Identifiers

PMID29967307
PMCPMC6030582
OpenAlexW2810754936

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.