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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19
|
---|---|
Published in |
Frontiers in Medicine, February 2021
|
DOI | 10.3389/fmed.2020.624255 |
Pubmed ID | |
Authors |
Ying Su, Min-jie Ju, Rong-cheng Xie, Shen-ji Yu, Ji-li Zheng, Guo-guang Ma, Kai Liu, Jie-fei Ma, Kai-huan Yu, Guo-wei Tu, Zhe Luo |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Venezuela, Bolivarian Republic of | 1 | 33% |
Comoros | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 77 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 10% |
Student > Postgraduate | 7 | 9% |
Student > Master | 6 | 8% |
Student > Ph. D. Student | 5 | 6% |
Student > Doctoral Student | 4 | 5% |
Other | 12 | 16% |
Unknown | 35 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 34% |
Nursing and Health Professions | 5 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Economics, Econometrics and Finance | 2 | 3% |
Computer Science | 2 | 3% |
Other | 5 | 6% |
Unknown | 35 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 April 2021.
All research outputs
#14,252,993
of 23,281,392 outputs
Outputs from Frontiers in Medicine
#2,454
of 5,956 outputs
Outputs of similar age
#261,836
of 505,376 outputs
Outputs of similar age from Frontiers in Medicine
#149
of 294 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 57% 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 505,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 294 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.