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Clinical Utility of a Nomogram for Predicting 30-Days Poor Outcome in Hospitalized Patients With COVID-19: Multicenter External Validation and Decision Curve Analysis

Overview of attention for article published in Frontiers in Medicine, December 2020
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Title
Clinical Utility of a Nomogram for Predicting 30-Days Poor Outcome in Hospitalized Patients With COVID-19: Multicenter External Validation and Decision Curve Analysis
Published in
Frontiers in Medicine, December 2020
DOI 10.3389/fmed.2020.590460
Pubmed ID
Authors

Bin Zhang, Qin Liu, Xiao Zhang, Shuyi Liu, Weiqi Chen, Jingjing You, Qiuying Chen, Minmin Li, Zhuozhi Chen, Luyan Chen, Lv Chen, Yuhao Dong, Qingsi Zeng, Shuixing Zhang

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Student > Bachelor 4 11%
Other 4 11%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 4 11%
Unknown 12 32%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Nursing and Health Professions 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 7 19%
Unknown 15 41%
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 09 January 2021.
All research outputs
#18,779,356
of 23,271,751 outputs
Outputs from Frontiers in Medicine
#4,137
of 5,950 outputs
Outputs of similar age
#376,400
of 504,500 outputs
Outputs of similar age from Frontiers in Medicine
#206
of 271 outputs
Altmetric has tracked 23,271,751 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 5,950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 13th percentile – i.e., 13% 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 504,500 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 271 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.