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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 (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Bachelor 4 15%
Other 3 12%
Librarian 2 8%
Student > Doctoral Student 2 8%
Other 3 12%
Unknown 7 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 31%
Agricultural and Biological Sciences 4 15%
Engineering 2 8%
Medicine and Dentistry 2 8%
Business, Management and Accounting 1 4%
Other 2 8%
Unknown 7 27%

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
#4,925,009
of 16,534,657 outputs
Outputs from BMC Medical Genomics
#245
of 877 outputs
Outputs of similar age
#123,912
of 327,415 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 72 outputs
Altmetric has tracked 16,534,657 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 877 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 70% 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 327,415 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 72 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 68% of its contemporaries.