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A novel genotyping technique for discriminating LVAS-associated high-frequency variants in SLC26A4 gene

Overview of attention for article published in AMB Express, September 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
7 Mendeley
Title
A novel genotyping technique for discriminating LVAS-associated high-frequency variants in SLC26A4 gene
Published in
AMB Express, September 2020
DOI 10.1186/s13568-020-01102-7
Pubmed ID
Authors

Chen Zhou, Xiangman Zou, Cuiying Peng, Guoqiang Gao, Zifen Guo

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 57%
Student > Postgraduate 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Unspecified 4 57%
Medicine and Dentistry 2 29%
Unknown 1 14%
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 29 September 2022.
All research outputs
#7,180,360
of 23,426,104 outputs
Outputs from AMB Express
#149
of 1,255 outputs
Outputs of similar age
#153,342
of 403,860 outputs
Outputs of similar age from AMB Express
#6
of 56 outputs
Altmetric has tracked 23,426,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,255 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 87% 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 403,860 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 61% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.