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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning-based prediction models for accidental hypothermia patients
|
|---|---|
| Published in |
Journal of Intensive Care, January 2021
|
| DOI | 10.1186/s40560-021-00525-z |
| Pubmed ID | |
| Authors |
Yohei Okada, Tasuku Matsuyama, Sachiko Morita, Naoki Ehara, Nobuhiro Miyamae, Takaaki Jo, Yasuyuki Sumida, Nobunaga Okada, Makoto Watanabe, Masahiro Nozawa, Ayumu Tsuruoka, Yoshihiro Fujimoto, Yoshiki Okumura, Tetsuhisa Kitamura, Ryoji Iiduka, Shigeru Ohtsuru |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 17% |
| United States | 1 | 17% |
| Singapore | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Unspecified | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 19 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 18% |
| Nursing and Health Professions | 4 | 10% |
| Engineering | 4 | 10% |
| Computer Science | 3 | 8% |
| Sports and Recreations | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 17 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 May 2021.
All research outputs
#7,564,164
of 24,833,726 outputs
Outputs from Journal of Intensive Care
#299
of 559 outputs
Outputs of similar age
#177,592
of 515,635 outputs
Outputs of similar age from Journal of Intensive Care
#14
of 24 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 559 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 45th percentile – i.e., 45% 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 515,635 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 65% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.