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Overview of smartphone applications for sleep analysis

Overview of attention for article published in World Journal of Otorhinolaryngology-Head and Neck Surgery, March 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 156)
  • High Attention Score compared to outputs of the same age (94th percentile)

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4 news outlets
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7 X users

Citations

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95 Dimensions

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226 Mendeley
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Title
Overview of smartphone applications for sleep analysis
Published in
World Journal of Otorhinolaryngology-Head and Neck Surgery, March 2016
DOI 10.1016/j.wjorl.2016.02.001
Pubmed ID
Authors

Adrian A. Ong, M. Boyd Gillespie

Abstract

To review and assess the current selection of sleep analysis smartphone applications (apps) available for download. The iOS and Google Play mobile app store were searched for sleep analysis apps targeted for consumer use. Alarm clock, sleep-aid, snoring and sleep-talking recorder, fitness tracker apps, and apps geared towards health professionals were excluded. App information and features were obtained from in-store descriptions, and the app developer website. A total of 51 unique sleep apps in both iOS and Google Play stores were included. The apps were rated 3.8/5 in both stores, and had an average price of $1.12 in the iOS store and $0.58 in the Google Play store. >65% of sleep apps report on sleep structure, including duration, time awake, and time in light/deep sleep, while reporting of REM was limited. The availability of extra features was variable, ranging from 4% to 73% of apps. There are a variety of sleep analysis apps with a range of functionality. The apps with the most reviews from the each store are featured. Many apps provide data on sleep structure; however the algorithms are not validated by scientific literature or studies. Since patients may inquire about their sleep habits from these apps, it is necessary for physicians to be aware of the most common apps and the features offered and their limitations in order to properly counsel patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Netherlands 1 <1%
France 1 <1%
Unknown 223 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 18%
Student > Bachelor 36 16%
Student > Ph. D. Student 24 11%
Researcher 22 10%
Student > Doctoral Student 12 5%
Other 35 15%
Unknown 57 25%
Readers by discipline Count As %
Medicine and Dentistry 34 15%
Computer Science 24 11%
Engineering 24 11%
Psychology 18 8%
Social Sciences 11 5%
Other 46 20%
Unknown 69 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2019.
All research outputs
#1,012,255
of 25,373,627 outputs
Outputs from World Journal of Otorhinolaryngology-Head and Neck Surgery
#2
of 156 outputs
Outputs of similar age
#17,246
of 312,604 outputs
Outputs of similar age from World Journal of Otorhinolaryngology-Head and Neck Surgery
#1
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them