Evidence map›Paper›PMID 34862360›Full record

Observational studyNature communications2021

Individual differences in information-seeking.

Christopher A Kelly, Tali Sharot

Abstract readObservational Study
In one paragraph

Observational study in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence and predictors of medical information avoidance: a systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Pooled it
  2. Article
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  8. Review
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  11. Active information sampling in health and disease.Neuroscience and biobehavioral reviews · 2025
    Review
  12. Knowledge of UK Residents About Importing Puppies from EU Countries.Animals : an open access journal from MDPI · 2025
    Article
  13. Article
  14. Review
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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

2 authors.

Christopher A KellyDepartment of Experimental Psychology, University College London, London, WC1H 0AP, UK. christopher.kelly.16@ucl.ac.uk.ORCID http://orcid.org/0000-0003-0572-2136
Tali SharotDepartment of Experimental Psychology, University College London, London, WC1H 0AP, UK. t.sharot@ucl.ac.uk.ORCID http://orcid.org/0000-0002-8384-6292

Funding

Wellcome TrustWellcome Trust (Wellcome) 214268/Z/18/Z
6 · The paper itself

Abstract

Vast amounts of personalized information are now available to individuals. A vital research challenge is to establish how people decide what information they wish to obtain. Here, over five studies examining information-seeking in different domains we show that information-seeking is associated with three diverse motives. Specifically, we find that participants assess whether information is useful in directing action, how it will make them feel, and whether it relates to concepts they think of often. We demonstrate that participants integrate these assessments into a calculation of the value of information that explains information seeking or its avoidance. Different individuals assign different weights to these three factors when seeking information. Using a longitudinal approach, we find that the relative weights assigned to these information-seeking motives within an individual show stability over time, and are related to mental health as assessed using a battery of psychopathology questionnaires.

Indexed as

IndividualityAdultFemaleHumansInformation Seeking BehaviorMaleMiddle Aged

Identifiers

PMID34862360
PMCPMC8642448

What OpenQuestion holds

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LicenceCC BY
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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.