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Editorial: Machine Learning and Wearable Technology in Sleep Medicine

Overview of attention for article published in Frontiers in Digital Health, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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3 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Editorial: Machine Learning and Wearable Technology in Sleep Medicine
Published in
Frontiers in Digital Health, March 2022
DOI 10.3389/fdgth.2022.845879
Pubmed ID
Authors

Timo Leppänen, Carolina Varon, Massimiliano de Zambotti, Sami Myllymaa

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Unknown 10 77%
Readers by discipline Count As %
Computer Science 1 8%
Engineering 1 8%
Unknown 11 85%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 March 2022.
All research outputs
#15,103,730
of 23,243,271 outputs
Outputs from Frontiers in Digital Health
#409
of 573 outputs
Outputs of similar age
#234,467
of 440,858 outputs
Outputs of similar age from Frontiers in Digital Health
#47
of 61 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 440,858 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.