The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Title |
Establishment of a Clinical Nomogram Model to Predict the Progression of COVID-19 to Severe Disease
|
---|---|
Published in |
Therapeutics and Clinical Risk Management, June 2021
|
DOI | 10.2147/tcrm.s308961 |
Pubmed ID | |
Authors |
Changli Tu, Guojie Wang, Yayuan Geng, Na Guo, Ning Cui, Jing Liu |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 10% |
Researcher | 3 | 10% |
Student > Bachelor | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Lecturer | 1 | 3% |
Other | 5 | 17% |
Unknown | 13 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 14% |
Engineering | 2 | 7% |
Nursing and Health Professions | 2 | 7% |
Philosophy | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 6 | 21% |
Unknown | 13 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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
#4,372,970
of 25,392,582 outputs
Outputs from Therapeutics and Clinical Risk Management
#214
of 1,323 outputs
Outputs of similar age
#100,382
of 459,810 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#2
of 25 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 459,810 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 77% 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 has done particularly well, scoring higher than 92% of its contemporaries.