Evidence map›Paper›PMID 28114386›Full record

ArticlePloS one2017

Personalized Media: A Genetically Informative Investigation of Individual Differences in Online Media Use.

Ziada Ayorech, Sophie von Stumm, Claire M A Haworth, Oliver S P Davis, Robert Plomin

Abstract readTwin Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. The genetics of university success.Scientific reports · 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

5 authors.

Ziada AyorechKing's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Sophie von StummDepartment of Psychology, Goldsmiths University of London, London, United Kingdom.
Claire M A HaworthMRC Integrative Epidemiology Unit, School of Experimental Psychology & School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Oliver S P DavisMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Robert PlominKing's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.

Funding

Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife2)R01AG046938 · NIA · UNIVERSITY OF COLORADO · PI REYNOLDS, CHANDRA A, WADSWORTH, SALLY J · 2015 to 2024
$18.5M
Genetics, School environments and cognitive developmentR01HD044454 · NICHD · KING'S COLLEGE LONDON · PI PLOMIN, ROBERT · 2005 to 2014
$3.4M
Genetics of Mathematical Cognition and DisabilitiesR01HD059215 · NICHD · OHIO STATE UNIVERSITY · PI PETRILL, STEPHEN A. · 2009 to 2012
$2.4M
European Research Council 295366Medical Research Council G19/2Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/6Medical Research Council MR/M021475/1NIA NIH HHS R01 AG046938NICHD NIH HHS R01 HD044454NICHD NIH HHS R01 HD059215
6 · The paper itself

Abstract

Online media use has become an increasingly important behavioral domain over the past decade. However, studies into the etiology of individual differences in media use have focused primarily on pathological use. Here, for the first time, we test the genetic influences on online media use in a UK representative sample of 16 year old twins, who were assessed on time spent on educational (N = 2,585 twin pairs) and entertainment websites (N = 2,614 twin pairs), time spent gaming online (N = 2,635 twin pairs), and Facebook use (N = 4,333 twin pairs). Heritability was substantial for all forms of online media use, ranging from 34% for educational sites to 37% for entertainment sites and 39% for gaming. Furthermore, genetics accounted for 24% of the variance in Facebook use. Our results support an active model of the environment, where young people choose their online engagements in line with their genetic propensities.

Indexed as

Online SystemsAdolescentHumansModels, TheoreticalUnited Kingdom

Identifiers

PMID28114386
PMCPMC5256859

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.