Evidence map›Paper›PMID 31032058›Full record

ArticleRoyal Society open science2019

Evidence to support common application switching behaviour on smartphones.

Liam D Turner, Roger M Whitaker, Stuart M Allen, David E J Linden, Kun Tu, Jian Li, Don Towsley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Royal Society open science, 2019. 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. Motif discovery in hospital ward vital signs observation networks.Network modeling and analysis in health informatics and bioinformatics · 2024
    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

7 authors.

Liam D TurnerSchool of Computer Science & Informatics, Cardiff University, Cardiff, UK.ORCID 0000-0003-4877-5289
Roger M WhitakerSchool of Computer Science & Informatics, Cardiff University, Cardiff, UK.ORCID 0000-0002-8473-1913
Stuart M AllenSchool of Computer Science & Informatics, Cardiff University, Cardiff, UK.ORCID 0000-0003-1776-7489
David E J LindenMRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
Kun TuCollege of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.
Jian LiCollege of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.
Don TowsleyCollege of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We find evidence to support common behaviour in smartphone usage based on analysis of application (app) switching. This is an overlooked aspect of smartphone usage that gives additional insight beyond screen time and the particular apps that are accessed. Using a dataset of usage behaviour from 53 participants over a six-week period, we find strong similarity in the structure of networks built from app switching, despite diversity in the apps used, and the volume of app switching. App switch networks exhibit small-world, broad-scale network features, with a rapid popularity decay, suggesting that preferential attachment may drive next-app decision-making.

Indexed as

human behaviournetwork sciencesmartphonesmartphone apps

Identifiers

PMID31032058
PMCPMC6458403

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.