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Demographic Factors and Job Characteristics Associated With Burnout in Chinese Female Nurses During Controlled COVID-19 Period: A Cross-Sectional Study

Overview of attention for article published in Frontiers in Public Health, January 2022
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1 X user

Citations

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48 Mendeley
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Title
Demographic Factors and Job Characteristics Associated With Burnout in Chinese Female Nurses During Controlled COVID-19 Period: A Cross-Sectional Study
Published in
Frontiers in Public Health, January 2022
DOI 10.3389/fpubh.2021.757113
Pubmed ID
Authors

Li-Li Zhou, Shu-E Zhang, Jiao Liu, Hong-Ni Wang, Li Liu, Jing-Jing Zhou, Zhi-Hua Bu, Yu-Fang Gao, Tao Sun, Bei Liu

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Student > Bachelor 3 6%
Professor 2 4%
Librarian 2 4%
Student > Doctoral Student 2 4%
Other 7 15%
Unknown 26 54%
Readers by discipline Count As %
Nursing and Health Professions 11 23%
Medicine and Dentistry 6 13%
Arts and Humanities 1 2%
Computer Science 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 26 54%
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 January 2022.
All research outputs
#20,291,881
of 22,828,180 outputs
Outputs from Frontiers in Public Health
#7,503
of 9,861 outputs
Outputs of similar age
#410,176
of 500,121 outputs
Outputs of similar age from Frontiers in Public Health
#579
of 817 outputs
Altmetric has tracked 22,828,180 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 9,861 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. 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 500,121 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 817 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.