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Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition

Overview of attention for article published in Biomedical Signal Processing and Control, August 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 790)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition
Published in
Biomedical Signal Processing and Control, August 2023
DOI 10.1016/j.bspc.2023.104899
Authors

Uri Goldsztejn, Arye Nehorai

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 14%
Unknown 6 86%
Readers by discipline Count As %
Engineering 1 14%
Unknown 6 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 June 2023.
All research outputs
#2,083,777
of 25,394,764 outputs
Outputs from Biomedical Signal Processing and Control
#12
of 790 outputs
Outputs of similar age
#35,908
of 358,370 outputs
Outputs of similar age from Biomedical Signal Processing and Control
#2
of 43 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 790 research outputs from this source. They receive a mean Attention Score of 3.4. 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 358,370 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 89% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.