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Artificial intelligence and database for NGS-based diagnosis in rare disease

Overview of attention for article published in Frontiers in Genetics, January 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Readers on

mendeley
3 Mendeley
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Title
Artificial intelligence and database for NGS-based diagnosis in rare disease
Published in
Frontiers in Genetics, January 2024
DOI 10.3389/fgene.2023.1258083
Pubmed ID
Authors

Yee Wen Choon, Yee Fan Choon, Nurul Athirah Nasarudin, Fatma Al Jasmi, Muhamad Akmal Remli, Mohammed Hassan Alkayali, Mohd Saberi Mohamad

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.
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 > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 19 April 2024.
All research outputs
#3,785,136
of 25,748,735 outputs
Outputs from Frontiers in Genetics
#1,129
of 13,785 outputs
Outputs of similar age
#53,829
of 348,224 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 284 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,785 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 348,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 284 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.