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Improving the Accuracy of Noncontact Blood Pressure Sensing Using Near-Infrared Light

Overview of attention for article published in IEEJ Transactions on Electronics, Information and Systems, July 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Improving the Accuracy of Noncontact Blood Pressure Sensing Using Near-Infrared Light
Published in
IEEJ Transactions on Electronics, Information and Systems, July 2020
DOI 10.1541/ieejeiss.140.769
Authors

Yusuke Ozawa, Kosuke Oiwa, Shunsuke Miyazaki, Seiya Nishimura, Yasushi Nanai, Akio Nozawa

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Lecturer 2 40%
Unknown 1 20%
Readers by discipline Count As %
Engineering 3 60%
Computer Science 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2020.
All research outputs
#14,288,653
of 25,387,668 outputs
Outputs from IEEJ Transactions on Electronics, Information and Systems
#201
of 304 outputs
Outputs of similar age
#202,866
of 432,368 outputs
Outputs of similar age from IEEJ Transactions on Electronics, Information and Systems
#2
of 4 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 33rd percentile – i.e., 33% 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 432,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.