Evidence map›Paper›PMID 34013168›Full record

ArticleiScience2021

Contrasting levels of

Stotra Chakrabarti, Joseph K Bump, Yadvendradev V Jhala, Craig Packer

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Strategies, costs and counter-strategies to sexual coercion.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  3. Review
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

4 authors at 2 institutions in 2 countries.

Stotra ChakrabartiDepartment of Fisheries, Wildlife and Conservation Biology, University of Minnesota, 150 Skok Hall, 2003 Buford Circle, St. Paul, MN 55108, USA.
Joseph K BumpDepartment of Fisheries, Wildlife and Conservation Biology, University of Minnesota, 150 Skok Hall, 2003 Buford Circle, St. Paul, MN 55108, USA.
Yadvendradev V JhalaDepartment of Animal Ecology and Conservation Biology, Wildlife Institute of India, Chandrabani, Dehra Dun, Uttarakhand 248001, India.
Craig PackerDepartment of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN 55108, USA.
University of Minnesota · USWildlife Institute of India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding sexual segregation is crucial to comprehend sociality. A comparative analysis of long-term lion data from Serengeti and Ngorongoro in Tanzania, and Gir in India, reveals that male-female associations are contingent upon male and female group size, prey-size and availability, and the number of prides that each male coalition currently resides. Males maintain proximity with females, whereas females are responsible for segregation except at large kills. Lions feed on the largest prey in Ngorongoro and the smallest in Gir, and females spend the most time with males in Ngorongoro and the least in Gir. Females roar less often in prey-scarce circumstances in Serengeti and throughout the year in Gir possibly to prevent being tracked by males that parasitize on female kills. However, females readily associate with males when available prey is large and abundant. Contrasting availability of resources between Gir and Serengeti/Ngorongoro helps explain the varying degrees of sexual segregation and appears to drive differences in mating systems between these lion populations.

Indexed as

AnimalsBiological SciencesEcologyEthologyZoology

Identifiers

PMID34013168
PMCPMC8113998
OpenAlexW3154732600

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.