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A Multi-Period Curve Fitting Model for Short-Term Prediction of the COVID-19 Spread in the U.S. Metropolitans

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

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1 X user

Citations

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4 Dimensions

Readers on

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10 Mendeley
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Title
A Multi-Period Curve Fitting Model for Short-Term Prediction of the COVID-19 Spread in the U.S. Metropolitans
Published in
Frontiers in Public Health, January 2022
DOI 10.3389/fpubh.2021.809877
Pubmed ID
Authors

Bilal Majeed, Ang Li, Jiming Peng, Ying Lin

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 20%
Student > Ph. D. Student 1 10%
Unspecified 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 2 20%
Unspecified 1 10%
Social Sciences 1 10%
Medicine and Dentistry 1 10%
Unknown 5 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 18 January 2022.
All research outputs
#20,359,475
of 22,908,162 outputs
Outputs from Frontiers in Public Health
#7,602
of 10,060 outputs
Outputs of similar age
#410,100
of 498,964 outputs
Outputs of similar age from Frontiers in Public Health
#574
of 810 outputs
Altmetric has tracked 22,908,162 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 10,060 research outputs from this source. They typically receive a lot 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 498,964 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 810 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.