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Post-acute COVID-19 symptom risk in hospitalized and non-hospitalized COVID-19 survivors: A systematic review and meta-analysis

Overview of attention for article published in Frontiers in Public Health, February 2023
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1 X user

Citations

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36 Mendeley
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Title
Post-acute COVID-19 symptom risk in hospitalized and non-hospitalized COVID-19 survivors: A systematic review and meta-analysis
Published in
Frontiers in Public Health, February 2023
DOI 10.3389/fpubh.2023.1112383
Pubmed ID
Authors

Niu Yuan, Zhang-Hong Lv, Chun-Rong Sun, Yuan-Yuan Wen, Ting-Yu Tao, Dan Qian, Fang-Ping Tao, Jia-Hui Yu

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 8%
Student > Master 3 8%
Researcher 3 8%
Student > Doctoral Student 2 6%
Unspecified 2 6%
Other 4 11%
Unknown 19 53%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Nursing and Health Professions 3 8%
Unspecified 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Psychology 1 3%
Other 1 3%
Unknown 19 53%
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 06 March 2023.
All research outputs
#21,385,763
of 23,877,717 outputs
Outputs from Frontiers in Public Health
#8,493
of 11,736 outputs
Outputs of similar age
#339,756
of 408,000 outputs
Outputs of similar age from Frontiers in Public Health
#700
of 1,347 outputs
Altmetric has tracked 23,877,717 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 11,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 408,000 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 1,347 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.