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A Machine Learning Framework Predicts the Clinical Severity of Hemophilia B Caused by Point-Mutations

Overview of attention for article published in Frontiers in Bioinformatics, June 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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6 Dimensions

Readers on

mendeley
6 Mendeley
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Title
A Machine Learning Framework Predicts the Clinical Severity of Hemophilia B Caused by Point-Mutations
Published in
Frontiers in Bioinformatics, June 2022
DOI 10.3389/fbinf.2022.912112
Pubmed ID
Authors

Tiago J. S. Lopes, Tatiane Nogueira, Ricardo Rios

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 17%
Unknown 5 83%
Readers by discipline Count As %
Arts and Humanities 1 17%
Computer Science 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 June 2022.
All research outputs
#16,871,104
of 26,567,854 outputs
Outputs from Frontiers in Bioinformatics
#244
of 358 outputs
Outputs of similar age
#232,218
of 450,791 outputs
Outputs of similar age from Frontiers in Bioinformatics
#33
of 38 outputs
Altmetric has tracked 26,567,854 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 358 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 26th percentile – i.e., 26% 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 450,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.