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Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity

Overview of attention for article published in Scientific Reports, August 2019
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
24 X users
reddit
1 Redditor

Citations

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70 Dimensions

Readers on

mendeley
123 Mendeley
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Title
Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity
Published in
Scientific Reports, August 2019
DOI 10.1038/s41598-019-46850-0
Pubmed ID
Authors

Syed Ashiqur Rahman, Donald A. Adjeroh

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 18%
Student > Master 17 14%
Researcher 13 11%
Student > Doctoral Student 7 6%
Student > Bachelor 7 6%
Other 18 15%
Unknown 39 32%
Readers by discipline Count As %
Computer Science 18 15%
Engineering 15 12%
Nursing and Health Professions 6 5%
Medicine and Dentistry 6 5%
Neuroscience 5 4%
Other 27 22%
Unknown 46 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 August 2019.
All research outputs
#2,480,017
of 23,153,184 outputs
Outputs from Scientific Reports
#21,704
of 125,184 outputs
Outputs of similar age
#53,572
of 345,067 outputs
Outputs of similar age from Scientific Reports
#634
of 3,467 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 82% 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 345,067 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 84% of its contemporaries.
We're also able to compare this research output to 3,467 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.