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Burnout, depression, anxiety and insomnia among medical staff during the COVID-19 epidemic in Shanghai

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

Citations

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13 Dimensions

Readers on

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23 Mendeley
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Title
Burnout, depression, anxiety and insomnia among medical staff during the COVID-19 epidemic in Shanghai
Published in
Frontiers in Public Health, January 2023
DOI 10.3389/fpubh.2022.1019635
Pubmed ID
Authors

Lin Tang, Xin-tong Yu, Yu-wei Wu, Na Zhao, Rui-long Liang, Xiao-lin Gao, Wen-yan Jiang, Yun-fei Chen, Wen-jia Yang

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 13%
Researcher 3 13%
Professor 2 9%
Student > Bachelor 2 9%
Lecturer > Senior Lecturer 2 9%
Other 0 0%
Unknown 11 48%
Readers by discipline Count As %
Nursing and Health Professions 4 17%
Unspecified 3 13%
Arts and Humanities 2 9%
Business, Management and Accounting 1 4%
Psychology 1 4%
Other 2 9%
Unknown 10 43%
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 2023.
All research outputs
#20,613,214
of 23,202,641 outputs
Outputs from Frontiers in Public Health
#7,917
of 10,638 outputs
Outputs of similar age
#318,488
of 407,916 outputs
Outputs of similar age from Frontiers in Public Health
#594
of 1,252 outputs
Altmetric has tracked 23,202,641 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 10,638 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. 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 407,916 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 1,252 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.