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X Demographics
Mendeley readers
Attention Score in Context
Title |
Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study
|
---|---|
Published in |
Journal of Intensive Care, May 2021
|
DOI | 10.1186/s40560-021-00551-x |
Pubmed ID | |
Authors |
Tatsuya Hayasaka, Kazuharu Kawano, Kazuki Kurihara, Hiroto Suzuki, Masaki Nakane, Kaneyuki Kawamae |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 42% |
United States | 1 | 8% |
South Africa | 1 | 8% |
Argentina | 1 | 8% |
Peru | 1 | 8% |
Unknown | 3 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Scientists | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 13% |
Student > Master | 8 | 13% |
Student > Postgraduate | 4 | 6% |
Student > Bachelor | 2 | 3% |
Unspecified | 2 | 3% |
Other | 8 | 13% |
Unknown | 31 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 22% |
Computer Science | 4 | 6% |
Engineering | 3 | 5% |
Mathematics | 2 | 3% |
Nursing and Health Professions | 2 | 3% |
Other | 5 | 8% |
Unknown | 33 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 25 May 2021.
All research outputs
#5,705,771
of 23,577,654 outputs
Outputs from Journal of Intensive Care
#223
of 528 outputs
Outputs of similar age
#120,893
of 441,003 outputs
Outputs of similar age from Journal of Intensive Care
#8
of 13 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 528 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 57% 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 441,003 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 72% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.