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Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia

Overview of attention for article published in Frontiers in Public Health, June 2021
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Mentioned by

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2 X users

Citations

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2 Dimensions

Readers on

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10 Mendeley
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Title
Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia
Published in
Frontiers in Public Health, June 2021
DOI 10.3389/fpubh.2021.663965
Pubmed ID
Authors

Liaoyi Lin, Jinjin Liu, Qingshan Deng, Na Li, Jingye Pan, Houzhang Sun, Shichao Quan

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.
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 %
Student > Bachelor 1 10%
Researcher 1 10%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Unknown 6 60%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Agricultural and Biological Sciences 1 10%
Physics and Astronomy 1 10%
Engineering 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 15 June 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Frontiers in Public Health
#6,136
of 10,831 outputs
Outputs of similar age
#321,614
of 446,451 outputs
Outputs of similar age from Frontiers in Public Health
#357
of 609 outputs
Altmetric has tracked 23,308,124 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 10,831 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 25th percentile – i.e., 25% 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 446,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 609 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.