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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score
|
---|---|
Published in |
Frontiers in Microbiology, December 2019
|
DOI | 10.3389/fmicb.2019.02752 |
Pubmed ID | |
Authors |
Lingxi Guo, Dong Wei, Xinxin Zhang, Yurong Wu, Qingyun Li, Min Zhou, Jieming Qu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 21% |
Mexico | 1 | 4% |
Paraguay | 1 | 4% |
United Kingdom | 1 | 4% |
Philippines | 1 | 4% |
Italy | 1 | 4% |
Ecuador | 1 | 4% |
United States | 1 | 4% |
Switzerland | 1 | 4% |
Other | 0 | 0% |
Unknown | 11 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 75% |
Practitioners (doctors, other healthcare professionals) | 4 | 17% |
Scientists | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 310 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 10% |
Other | 30 | 10% |
Student > Master | 30 | 10% |
Student > Ph. D. Student | 27 | 9% |
Student > Bachelor | 25 | 8% |
Other | 63 | 20% |
Unknown | 103 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 108 | 35% |
Nursing and Health Professions | 16 | 5% |
Biochemistry, Genetics and Molecular Biology | 13 | 4% |
Agricultural and Biological Sciences | 9 | 3% |
Computer Science | 7 | 2% |
Other | 41 | 13% |
Unknown | 116 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 01 November 2020.
All research outputs
#1,143,392
of 26,637,793 outputs
Outputs from Frontiers in Microbiology
#640
of 30,441 outputs
Outputs of similar age
#26,467
of 484,753 outputs
Outputs of similar age from Frontiers in Microbiology
#13
of 651 outputs
Altmetric has tracked 26,637,793 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,441 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 97% 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 484,753 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 651 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 98% of its contemporaries.