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Diagnostic Performance of a Blood Urea Nitrogen to Creatinine Ratio-based Nomogram for Predicting In-hospital Mortality in COVID-19 Patients

Overview of attention for article published in Risk Management and Healthcare Policy, January 2021
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Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

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53 Mendeley
Title
Diagnostic Performance of a Blood Urea Nitrogen to Creatinine Ratio-based Nomogram for Predicting In-hospital Mortality in COVID-19 Patients
Published in
Risk Management and Healthcare Policy, January 2021
DOI 10.2147/rmhp.s278365
Pubmed ID
Authors

Qingquan Liu, Yiru Wang, Xuecheng Zhao, Lixuan Wang, Feng Liu, Tao Wang, Dawei Ye, Yongman Lv

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

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 9%
Student > Master 5 9%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 4 8%
Other 10 19%
Unknown 21 40%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Engineering 4 8%
Agricultural and Biological Sciences 3 6%
Nursing and Health Professions 3 6%
Environmental Science 1 2%
Other 7 13%
Unknown 22 42%
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 21 January 2021.
All research outputs
#20,679,788
of 23,275,636 outputs
Outputs from Risk Management and Healthcare Policy
#566
of 646 outputs
Outputs of similar age
#429,248
of 503,227 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#50
of 56 outputs
Altmetric has tracked 23,275,636 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 646 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. 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 503,227 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 56 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.