Evidence map›Paper›PMID 32440036›Full record

ArticleBehavioral ecology and sociobiology2019

Resting networks and personality predict attack speed in social spiders.

Edmund R Hunt, Brian Mi, Rediet Geremew, Camila Fernandez, Brandyn M Wong, Jonathan N Pruitt, Noa Pinter-Wollman

Open access · greenAbstract read
In one paragraph

Article in Behavioral ecology and sociobiology, 2019. 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
2.1field-weighted citation impact, top 12% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Physical and social cues shape nest-site preference and prey capture behavior in social spiders.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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 3 institutions in 1 country.

Edmund R HuntDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-9647-124X
Brian MiBioCircuits Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Rediet GeremewBioCircuits Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Camila FernandezBioCircuits Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Brandyn M WongBioCircuits Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Jonathan N PruittDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106, USA.
Noa Pinter-WollmanDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
University of California San Diego · USUniversity of California, Los Angeles · USUniversity of California, Santa Barbara · US

Funding

Modeling how keystone individuals emerge and influence disease transmissionR01GM115509 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PINTER-WOLLMAN, NOA MICHAL · 2016 to 2020
$2.0M
NIGMS NIH HHS R01 GM115509
6 · The paper itself

Abstract

Groups of social predators capture large prey items collectively, and their social interaction patterns may impact how quickly they can respond to time-sensitive predation opportunities. We investigated whether various organizational levels of resting interactions (individual, sub-group, group), observed at different intervals leading up to a collective prey attack, impacted the predation speed of colonies of the social spider

Indexed as

BoldnessCollective behaviourForagingKeystone individualSocial network analysisStegodyphus dumicola

Identifiers

PMID32440036
PMCPMC7241254
OpenAlexW2955924448

What OpenQuestion holds

Textmetadata
LicenceTDM
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.