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Maximal Segmental Score Method for Localizing Recessive Disease Variants Based on Sequence Data

Overview of attention for article published in Frontiers in Genetics, June 2020
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Maximal Segmental Score Method for Localizing Recessive Disease Variants Based on Sequence Data
Published in
Frontiers in Genetics, June 2020
DOI 10.3389/fgene.2020.00555
Pubmed ID
Authors

Ai-Ru Hsieh, Jia Jyun Sie, Chien Ching Chang, Jurg Ott, Ie-Bin Lian, Cathy S. J. Fann

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 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%
Researcher 1 33%
Other 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Medicine and Dentistry 1 33%
Engineering 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 26 June 2020.
All research outputs
#18,728,392
of 23,215,490 outputs
Outputs from Frontiers in Genetics
#7,230
of 12,251 outputs
Outputs of similar age
#300,706
of 399,175 outputs
Outputs of similar age from Frontiers in Genetics
#265
of 388 outputs
Altmetric has tracked 23,215,490 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 12,251 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 399,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 388 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.