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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
57 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Student > Bachelor 7 12%
Researcher 7 12%
Other 5 9%
Student > Ph. D. Student 5 9%
Other 9 16%
Unknown 15 26%
Readers by discipline Count As %
Medicine and Dentistry 16 28%
Nursing and Health Professions 5 9%
Agricultural and Biological Sciences 4 7%
Social Sciences 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 8 14%
Unknown 18 32%

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
#14,167,460
of 18,414,344 outputs
Outputs from BMC Infectious Diseases
#4,127
of 6,442 outputs
Outputs of similar age
#292,856
of 420,170 outputs
Outputs of similar age from BMC Infectious Diseases
#321
of 593 outputs
Altmetric has tracked 18,414,344 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,442 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 28th percentile – i.e., 28% 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 420,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 593 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.