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Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations

Overview of attention for article published in Frontiers in Public Health, July 2022
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Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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8 Mendeley
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Title
Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations
Published in
Frontiers in Public Health, July 2022
DOI 10.3389/fpubh.2022.920312
Pubmed ID
Authors

Shengnan Lin, Jia Rui, Fang Xie, Meirong Zhan, Qiuping Chen, Bin Zhao, Yuanzhao Zhu, Zhuoyang Li, Bin Deng, Shanshan Yu, An Li, Yanshu Ke, Wenwen Zeng, Yanhua Su, Yi-Chen Chiang, Tianmu Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 13%
Professor 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Nursing and Health Professions 1 13%
Business, Management and Accounting 1 13%
Unknown 4 50%
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 01 July 2022.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Frontiers in Public Health
#5,635
of 9,792 outputs
Outputs of similar age
#305,091
of 435,867 outputs
Outputs of similar age from Frontiers in Public Health
#634
of 1,281 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,792 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 23rd percentile – i.e., 23% 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 435,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,281 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.