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An Open Source Classifier for Bed Mattress Signal in Infant Sleep Monitoring

Overview of attention for article published in Frontiers in Neuroscience, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
5 X users

Readers on

mendeley
26 Mendeley
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Title
An Open Source Classifier for Bed Mattress Signal in Infant Sleep Monitoring
Published in
Frontiers in Neuroscience, January 2021
DOI 10.3389/fnins.2020.602852
Pubmed ID
Authors

Jukka Ranta, Manu Airaksinen, Turkka Kirjavainen, Sampsa Vanhatalo, Nathan J. Stevenson

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Student > Master 3 12%
Student > Ph. D. Student 2 8%
Researcher 2 8%
Student > Postgraduate 2 8%
Other 1 4%
Unknown 11 42%
Readers by discipline Count As %
Engineering 4 15%
Medicine and Dentistry 2 8%
Neuroscience 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Sports and Recreations 1 4%
Other 3 12%
Unknown 13 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 08 February 2021.
All research outputs
#3,323,065
of 26,017,215 outputs
Outputs from Frontiers in Neuroscience
#2,376
of 11,682 outputs
Outputs of similar age
#88,871
of 534,453 outputs
Outputs of similar age from Frontiers in Neuroscience
#222
of 420 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 78% 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 534,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.