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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures
|
|---|---|
| Published in |
Journal of Intensive Care, February 2021
|
| DOI | 10.1186/s40560-021-00533-z |
| Pubmed ID | |
| Authors |
Hideki Endo, Shigehiko Uchino, Satoru Hashimoto, Yoshitaka Aoki, Eiji Hashiba, Junji Hatakeyama, Katsura Hayakawa, Nao Ichihara, Hiromasa Irie, Tatsuya Kawasaki, Junji Kumasawa, Hiroshi Kurosawa, Tomoyuki Nakamura, Hiroyuki Ohbe, Hiroshi Okamoto, Hidenobu Shigemitsu, Takashi Tagami, Shunsuke Takaki, Kohei Takimoto, Masatoshi Uchida, Hiroaki Miyata |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 25% |
| Singapore | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 4 | 15% |
| Other | 3 | 12% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 31% |
| Business, Management and Accounting | 2 | 8% |
| Neuroscience | 2 | 8% |
| Psychology | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 September 2022.
All research outputs
#13,108,948
of 23,230,825 outputs
Outputs from Journal of Intensive Care
#307
of 519 outputs
Outputs of similar age
#243,541
of 547,791 outputs
Outputs of similar age from Journal of Intensive Care
#18
of 25 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 519 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 40th percentile – i.e., 40% 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 547,791 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 55% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.