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Clinical analysis of germline copy number variation in DMD using a non-conjugate hierarchical Bayesian model

Overview of attention for article published in BMC Medical Genomics, October 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 (69th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Clinical analysis of germline copy number variation in DMD using a non-conjugate hierarchical Bayesian model
Published in
BMC Medical Genomics, October 2018
DOI 10.1186/s12920-018-0404-4
Pubmed ID
Authors

Velina Kozareva, Clayton Stroff, Maxwell Silver, Jonathan F. Freidin, Nigel F. Delaney

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Other 3 11%
Student > Doctoral Student 2 7%
Librarian 1 4%
Other 2 7%
Unknown 10 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Agricultural and Biological Sciences 5 18%
Engineering 2 7%
Medicine and Dentistry 2 7%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 10 36%
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 27 July 2019.
All research outputs
#8,577,479
of 26,017,215 outputs
Outputs from BMC Medical Genomics
#626
of 2,466 outputs
Outputs of similar age
#141,620
of 365,092 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 49 outputs
Altmetric has tracked 26,017,215 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 2,466 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 73% 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 365,092 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 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.