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Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network

Overview of attention for article published in Frontiers in Neuroscience, February 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network
Published in
Frontiers in Neuroscience, February 2020
DOI 10.3389/fnins.2020.00026
Pubmed ID
Authors

Ronglin Li, Qiang Wu, Ju Liu, Qi Wu, Chao Li, Qibin Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 4 17%
Student > Bachelor 2 8%
Student > Master 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 9 38%
Readers by discipline Count As %
Computer Science 6 25%
Medicine and Dentistry 3 13%
Engineering 3 13%
Earth and Planetary Sciences 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 9 38%
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 19 February 2020.
All research outputs
#15,749,194
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#6,709
of 11,543 outputs
Outputs of similar age
#255,637
of 469,373 outputs
Outputs of similar age from Frontiers in Neuroscience
#188
of 296 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 39th percentile – i.e., 39% 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 469,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.