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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care
|
|---|---|
| Published in |
Journal of Intensive Care, June 2021
|
| DOI | 10.1186/s40560-021-00557-5 |
| Pubmed ID | |
| Authors |
Hideki Endo, Hiroyuki Ohbe, Junji Kumasawa, Shigehiko Uchino, Satoru Hashimoto, Yoshitaka Aoki, Takehiko Asaga, Eiji Hashiba, Junji Hatakeyama, Katsura Hayakawa, Nao Ichihara, Hiromasa Irie, Tatsuya Kawasaki, Hiroshi Kurosawa, Tomoyuki Nakamura, Hiroshi Okamoto, Hidenobu Shigemitsu, Shunsuke Takaki, Kohei Takimoto, Masatoshi Uchida, Ryo Uchimido, Hiroaki Miyata |
X Demographics
The data shown below were collected from the profiles of 72 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 11 | 15% |
| Venezuela, Bolivarian Republic of | 3 | 4% |
| Brazil | 2 | 3% |
| Chile | 2 | 3% |
| Canada | 1 | 1% |
| Uruguay | 1 | 1% |
| Honduras | 1 | 1% |
| Peru | 1 | 1% |
| Ecuador | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 46 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 64 | 89% |
| Practitioners (doctors, other healthcare professionals) | 6 | 8% |
| Scientists | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 13% |
| Student > Postgraduate | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 35% |
| Engineering | 2 | 6% |
| Unspecified | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 18 July 2021.
All research outputs
#765,139
of 24,155,398 outputs
Outputs from Journal of Intensive Care
#25
of 544 outputs
Outputs of similar age
#20,898
of 436,153 outputs
Outputs of similar age from Journal of Intensive Care
#2
of 9 outputs
Altmetric has tracked 24,155,398 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 95% 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 436,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.