Evidence map›Paper›PMID 34133458›Full record

ArticlePloS one2021

Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.

Kamila Kolpashnikova, Sarah Flood, Oriel Sullivan, Liana Sayer, Ekaterina Hertog, Muzhi Zhou, Man-Yee Kan, Jooyeoun Suh, Jonathan Gershuny

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Kamila KolpashnikovaDepartment of Sociology, Social Science Division, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6338-0977
Sarah FloodIPUMS, University of Minnesota, Minneapolis, Minnesota, United States of America.
Oriel SullivanESRC Centre for Time Use Research, Social Research Institute, University College London, London, United Kingdom.
Liana SayerMaryland Time Use Lab, University of Maryland, College Park, Maryland, United States of America.
Ekaterina HertogDepartment of Sociology, Social Science Division, University of Oxford, Oxford, United Kingdom.
Muzhi ZhouDepartment of Sociology, Social Science Division, University of Oxford, Oxford, United Kingdom.
Man-Yee KanDepartment of Sociology, Social Science Division, University of Oxford, Oxford, United Kingdom.
Jooyeoun SuhDepartment of Economics, American University, Washington, District of Columbia, United States of America.
Jonathan GershunyESRC Centre for Time Use Research, Social Research Institute, University College London, London, United Kingdom.

Funding

Time Use Data for Health and Well-BeingR01HD053654 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Sarah M Flood, Liana C Sayer · 2006 to 2026
$11.5M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD053654
6 · The paper itself

Abstract

Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.

Indexed as

Data VisualizationDiaries as TopicUser-Computer InterfaceCaregiversHumansInternetSurveys and Questionnaires

Identifiers

PMID34133458
PMCPMC8208539

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.