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Inducing therapeutic hypothermia via selective brain cooling: a finite element modeling analysis

Overview of attention for article published in Medical & Biological Engineering & Computing, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Inducing therapeutic hypothermia via selective brain cooling: a finite element modeling analysis
Published in
Medical & Biological Engineering & Computing, February 2019
DOI 10.1007/s11517-019-01962-7
Pubmed ID
Authors

Lu Yin, Hongwei Jiang, Weiwei Zhao, Hui Li

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Lecturer 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Medicine and Dentistry 1 50%
Engineering 1 50%

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 19 February 2019.
All research outputs
#8,133,694
of 12,968,588 outputs
Outputs from Medical & Biological Engineering & Computing
#1,141
of 1,349 outputs
Outputs of similar age
#147,343
of 248,028 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 10 outputs
Altmetric has tracked 12,968,588 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,349 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 10th percentile – i.e., 10% 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 248,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.