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Evaluating the metropolitan public health preparedness for pandemics using entropy-TOPSIS-IF

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

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3 Mendeley
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Title
Evaluating the metropolitan public health preparedness for pandemics using entropy-TOPSIS-IF
Published in
Frontiers in Public Health, March 2024
DOI 10.3389/fpubh.2024.1339611
Pubmed ID
Authors

Jin Liu, Allen Wood Liu, Xingye Li, Hui Li, Wenwei Luo, Wei Chen

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Unknown 1 33%
Readers by discipline Count As %
Nursing and Health Professions 1 33%
Engineering 1 33%
Unknown 1 33%
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 08 March 2024.
All research outputs
#22,824,323
of 25,450,869 outputs
Outputs from Frontiers in Public Health
#9,856
of 14,144 outputs
Outputs of similar age
#129,223
of 160,697 outputs
Outputs of similar age from Frontiers in Public Health
#132
of 392 outputs
Altmetric has tracked 25,450,869 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 14,144 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 160,697 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 392 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.