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Derivation and validation of a prognostic model for predicting in-hospital mortality in patients admitted with COVID-19 in Wuhan, China: the PLANS (platelet lymphocyte age neutrophil sex) model

Overview of attention for article published in BMC Infectious Diseases, December 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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11 Dimensions

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mendeley
107 Mendeley
Title
Derivation and validation of a prognostic model for predicting in-hospital mortality in patients admitted with COVID-19 in Wuhan, China: the PLANS (platelet lymphocyte age neutrophil sex) model
Published in
BMC Infectious Diseases, December 2020
DOI 10.1186/s12879-020-05688-y
Pubmed ID
Authors

Jiong Li, Yuntao Chen, Shujing Chen, Sihua Wang, Dingyu Zhang, Junfeng Wang, Douwe Postmus, Hesong Zeng, Guoyou Qin, Yin Shen, Jinjun Jiang, Yongfu Yu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 16%
Other 14 13%
Researcher 12 11%
Student > Bachelor 11 10%
Student > Ph. D. Student 7 7%
Other 14 13%
Unknown 32 30%
Readers by discipline Count As %
Medicine and Dentistry 31 29%
Nursing and Health Professions 8 7%
Agricultural and Biological Sciences 4 4%
Social Sciences 3 3%
Economics, Econometrics and Finance 3 3%
Other 20 19%
Unknown 38 36%
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 26 January 2021.
All research outputs
#15,659,831
of 23,269,984 outputs
Outputs from BMC Infectious Diseases
#4,572
of 7,791 outputs
Outputs of similar age
#285,892
of 475,121 outputs
Outputs of similar age from BMC Infectious Diseases
#88
of 173 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,791 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 33rd percentile – i.e., 33% 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 475,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.