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Detecting clinically actionable variants in the 3′ exons of PMS2 via a reflex workflow based on equivalent hybrid capture of the gene and its pseudogene

Overview of attention for article published in BMC Medical Genomics, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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14 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Detecting clinically actionable variants in the 3′ exons of PMS2 via a reflex workflow based on equivalent hybrid capture of the gene and its pseudogene
Published in
BMC Medical Genomics, September 2018
DOI 10.1186/s12881-018-0691-9
Pubmed ID
Authors

Genevieve M Gould, Peter V Grauman, Mark R Theilmann, Lindsay Spurka, Irving E Wang, Laura M Melroy, Robert G Chin, Dustin H Hite, Clement S Chu, Jared R Maguire, Gregory J Hogan, Dale Muzzey

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 6 13%
Other 4 8%
Student > Master 4 8%
Student > Doctoral Student 2 4%
Other 4 8%
Unknown 17 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 38%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 4 8%
Psychology 1 2%
Economics, Econometrics and Finance 1 2%
Other 0 0%
Unknown 19 40%
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 February 2021.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#606
of 2,444 outputs
Outputs of similar age
#136,455
of 352,583 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 53 outputs
Altmetric has tracked 25,385,509 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 74% 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 352,583 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 60% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.