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Early predictors and screening tool developing for severe patients with COVID-19

Overview of attention for article published in BMC Infectious Diseases, October 2021
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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23 Mendeley
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Title
Early predictors and screening tool developing for severe patients with COVID-19
Published in
BMC Infectious Diseases, October 2021
DOI 10.1186/s12879-021-06662-y
Pubmed ID
Authors

Le Fang, Huashan Xie, Lingyun Liu, Shijun Lu, Fangfang Lv, Jiancang Zhou, Yue Xu, Huiqing Ge, Min Yu, Limin Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 3 13%
Lecturer 2 9%
Student > Postgraduate 2 9%
Student > Bachelor 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Nursing and Health Professions 4 17%
Social Sciences 2 9%
Immunology and Microbiology 1 4%
Environmental Science 1 4%
Other 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from BMC Infectious Diseases
#6,597
of 7,804 outputs
Outputs of similar age
#357,652
of 434,209 outputs
Outputs of similar age from BMC Infectious Diseases
#181
of 222 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 434,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.