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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nomogram for prediction of fatal outcome in patients with severe COVID-19: a multicenter study
|
|---|---|
| Published in |
Military Medical Research, March 2021
|
| DOI | 10.1186/s40779-021-00315-6 |
| Pubmed ID | |
| Authors |
Yun Yang, Xiao-Fei Zhu, Jian Huang, Cui Chen, Yang Zheng, Wei He, Ling-Hao Zhao, Qian Gao, Xuan-Xuan Huang, Li-Juan Fu, Yu Zhang, Yan-Qin Chang, Huo-Jun Zhang, Zhi-Jie Lu |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 16% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 4 | 6% |
| Student > Master | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 26 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 29% |
| Nursing and Health Professions | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 10 | 16% |
| Unknown | 26 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 October 2023.
All research outputs
#2,657,957
of 25,387,668 outputs
Outputs from Military Medical Research
#44
of 443 outputs
Outputs of similar age
#71,581
of 466,798 outputs
Outputs of similar age from Military Medical Research
#2
of 18 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 89% 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 466,798 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.