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Assessment of the Risk of Severe Dengue Using Intrahost Viral Population in Dengue Virus Serotype 2 Patients via Machine Learning

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
6 X users

Citations

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3 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Assessment of the Risk of Severe Dengue Using Intrahost Viral Population in Dengue Virus Serotype 2 Patients via Machine Learning
Published in
Frontiers in Cellular and Infection Microbiology, February 2022
DOI 10.3389/fcimb.2022.831281
Pubmed ID
Authors

Su-Jhen Hung, Huey-Pin Tsai, Ya-Fang Wang, Wen-Chien Ko, Jen-Ren Wang, Sheng-Wen Huang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Unspecified 4 12%
Student > Bachelor 4 12%
Student > Master 2 6%
Professor 1 3%
Other 3 9%
Unknown 15 44%
Readers by discipline Count As %
Medicine and Dentistry 5 15%
Biochemistry, Genetics and Molecular Biology 4 12%
Unspecified 4 12%
Chemistry 2 6%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 15 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 March 2022.
All research outputs
#8,291,825
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,926
of 8,110 outputs
Outputs of similar age
#181,471
of 523,723 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#128
of 499 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 75% of its peers.
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 523,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.