The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease
|
|---|---|
| Published in |
Frontiers in Medicine, August 2020
|
| DOI | 10.3389/fmed.2020.00518 |
| Pubmed ID | |
| Authors |
Rong Xu, Keke Hou, Kun Zhang, Huayan Xu, Na Zhang, Hang Fu, Linjun Xie, Ran Sun, Lingyi Wen, Hui Liu, Zhigang Yang, Ming Yang, Yingkun Guo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 2 | 13% |
| Chile | 1 | 6% |
| Brazil | 1 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 6% |
| Guatemala | 1 | 6% |
| Spain | 1 | 6% |
| Mexico | 1 | 6% |
| United Kingdom | 1 | 6% |
| Switzerland | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Other | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Researcher | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 18 | 22% |
| Unknown | 27 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 32% |
| Nursing and Health Professions | 8 | 10% |
| Engineering | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Environmental Science | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 30 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 04 November 2020.
All research outputs
#4,026,854
of 24,335,784 outputs
Outputs from Frontiers in Medicine
#1,066
of 6,585 outputs
Outputs of similar age
#94,548
of 401,889 outputs
Outputs of similar age from Frontiers in Medicine
#57
of 210 outputs
Altmetric has tracked 24,335,784 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 83% 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 401,889 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 76% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.