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COVID-19 waves in an urban setting 2020–2022: an electronic medical record analysis

Overview of attention for article published in Frontiers in Public Health, January 2024
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1 X user

Readers on

mendeley
2 Mendeley
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Title
COVID-19 waves in an urban setting 2020–2022: an electronic medical record analysis
Published in
Frontiers in Public Health, January 2024
DOI 10.3389/fpubh.2024.1323481
Pubmed ID
Authors

Yi-shuan Elaine Chen, Susan H. Gawel, Pankaja Desai, Juan Rojas, Hannah J. Barbian, Nagarjuna Tippireddy, Rajkamal Gopinath, Sharon Schneider, Anthony Orzechowski, Gavin Cloherty, Alan Landay

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 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 30 January 2024.
All research outputs
#22,642,414
of 25,255,356 outputs
Outputs from Frontiers in Public Health
#9,643
of 13,786 outputs
Outputs of similar age
#121,583
of 150,491 outputs
Outputs of similar age from Frontiers in Public Health
#138
of 359 outputs
Altmetric has tracked 25,255,356 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 13,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 150,491 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 359 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.