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Extracting Cardiac Information From Medical Radar Using Locally Projective Adaptive Signal Separation

Overview of attention for article published in Frontiers in Physiology, May 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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6 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Extracting Cardiac Information From Medical Radar Using Locally Projective Adaptive Signal Separation
Published in
Frontiers in Physiology, May 2019
DOI 10.3389/fphys.2019.00568
Pubmed ID
Authors

Yu Yao, Guanghao Sun, Tetsuo Kirimoto, Michael Schiek

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Professor 1 8%
Other 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Computer Science 2 17%
Engineering 2 17%
Neuroscience 1 8%
Psychology 1 8%
Unknown 6 50%
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 09 December 2022.
All research outputs
#15,153,715
of 23,306,612 outputs
Outputs from Frontiers in Physiology
#5,842
of 14,039 outputs
Outputs of similar age
#205,800
of 351,077 outputs
Outputs of similar age from Frontiers in Physiology
#208
of 382 outputs
Altmetric has tracked 23,306,612 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 14,039 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 51% 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 351,077 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.