Evidence map›Paper›PMID 24691116›Full record

ArticleScientific reports2014

Collective enhancement of numerical acuity by meritocratic leadership in fish.

Angelo Bisazza, Brian Butterworth, Laura Piffer, Bahador Bahrami, Maria Elena Miletto Petrazzini, Christian Agrillo

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Searching for the CriticalFrontiers in psychology · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. 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.

Angelo Bisazza1] University of Padova, Department of General Psychology, Padova, Italy [2] University of Padova, Centro di Neuroscienze Cognitive, Padova, Italy.
Brian Butterworth1] University College of London, Institute of Cognitive Neuroscience, UK [2] IRCCS Ospedale San Camillo, Venice, Italy [3] University of Melbourne, Psychological Sciences, Australia.
Laura PifferUniversity of Padova, Department of General Psychology, Padova, Italy.
Bahador BahramiUniversity College of London, Institute of Cognitive Neuroscience, UK.
Maria Elena Miletto PetrazziniUniversity of Padova, Department of General Psychology, Padova, Italy.
Christian AgrilloUniversity of Padova, Department of General Psychology, Padova, Italy.

Funding

European Research Council 309865
6 · The paper itself

Abstract

It has been known for more than a century that interacting people can generally achieve more accurate decisions than single individuals. Here we show that interacting guppy fish (Poecilia reticulata) achieve a superior level of numerosity discrimination well beyond the average ability of the isolated individual fish. This enhancement of numerical acuity was observed in dyadic interactions when (Experiment 1) the dyad chose which larger shoal of guppies to join and when (Experiment 2) the dyad chose the higher or the lower numerosity among two decision options after having learned the task individually. Dyadic accuracy and that of the more competent member of each dyad matched closely, supporting the hypothesis that meritocratic leadership arises spontaneously between dyadically interacting fish, rather than the 'many wrongs' principle that has been used to explain group superiority in many species.

Indexed as

AnimalsBehavior, AnimalFemaleFishesLeadershipPoecilia

Identifiers

PMID24691116
PMCPMC3972498

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.