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Predictive risk score model for severe fever with thrombocytopenia syndrome mortality based on qSOFA and SIRS scoring system

Overview of attention for article published in BMC Infectious Diseases, August 2020
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1 X user

Citations

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15 Mendeley
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Title
Predictive risk score model for severe fever with thrombocytopenia syndrome mortality based on qSOFA and SIRS scoring system
Published in
BMC Infectious Diseases, August 2020
DOI 10.1186/s12879-020-05299-7
Pubmed ID
Authors

Li Wang, Zhiqiang Zou, Kun Ding, Chunguo Hou

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Researcher 2 13%
Unspecified 1 7%
Professor 1 7%
Lecturer 1 7%
Other 2 13%
Unknown 6 40%
Readers by discipline Count As %
Medicine and Dentistry 3 20%
Engineering 2 13%
Immunology and Microbiology 2 13%
Unspecified 1 7%
Unknown 7 47%
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 18 August 2020.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from BMC Infectious Diseases
#5,692
of 7,786 outputs
Outputs of similar age
#300,454
of 398,707 outputs
Outputs of similar age from BMC Infectious Diseases
#98
of 159 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,786 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 15th percentile – i.e., 15% 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 398,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.