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Risk Assessment and Prediction of Severe or Critical COVID-19 Illness in Older Adults

Overview of attention for article published in Clinical Interventions in Aging, November 2020
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Mentioned by

reddit
1 Redditor

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
30 Mendeley
Title
<p>Risk Assessment and Prediction of Severe or Critical COVID-19 Illness in Older Adults</p>
Published in
Clinical Interventions in Aging, November 2020
DOI 10.2147/cia.s268156
Authors

Xiao-Yu Zhang, Lin Zhang, Yang Zhao, Liang Chen

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 23%
Student > Bachelor 5 17%
Researcher 3 10%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 5 17%
Unknown 6 20%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Nursing and Health Professions 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Agricultural and Biological Sciences 2 7%
Psychology 2 7%
Other 6 20%
Unknown 8 27%

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 November 2020.
All research outputs
#17,079,217
of 19,311,167 outputs
Outputs from Clinical Interventions in Aging
#1,522
of 1,695 outputs
Outputs of similar age
#329,509
of 388,021 outputs
Outputs of similar age from Clinical Interventions in Aging
#1
of 1 outputs
Altmetric has tracked 19,311,167 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 1,695 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 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 388,021 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them