↓ Skip to main content

Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry

Overview of attention for article published in Frontiers in Physiology, October 2020
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry
Published in
Frontiers in Physiology, October 2020
DOI 10.3389/fphys.2020.564589
Pubmed ID
Authors

Ryan Brandon Hunter, Shen Jiang, Akira Nishisaki, Amanda J. Nickel, Natalie Napolitano, Koichiro Shinozaki, Timmy Li, Kota Saeki, Lance B. Becker, Vinay M. Nadkarni, Aaron J. Masino

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Researcher 5 19%
Student > Master 3 12%
Other 2 8%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 9 35%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Engineering 3 12%
Unspecified 1 4%
Decision Sciences 1 4%
Environmental Science 1 4%
Other 2 8%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2020.
All research outputs
#18,769,480
of 23,262,131 outputs
Outputs from Frontiers in Physiology
#8,359
of 13,993 outputs
Outputs of similar age
#311,556
of 414,519 outputs
Outputs of similar age from Frontiers in Physiology
#264
of 422 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,993 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 414,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 422 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.