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Copy number variant and runs of homozygosity detection by microarrays enabled more precise molecular diagnoses in 11,020 clinical exome cases

Overview of attention for article published in Genome Medicine, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
44 Mendeley

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Summary Twitter Dimensions citations
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Title
Copy number variant and runs of homozygosity detection by microarrays enabled more precise molecular diagnoses in 11,020 clinical exome cases
Published in
Genome Medicine, May 2019
DOI 10.1186/s13073-019-0639-5
Pubmed ID
31101064
Authors

Avinash V. Dharmadhikari, Rajarshi Ghosh, Bo Yuan, Pengfei Liu, Hongzheng Dai, Sami Al Masri, Jennifer Scull, Jennifer E. Posey, Allen H. Jiang, Weimin He, Francesco Vetrini, Alicia A. Braxton, Patricia Ward, Theodore Chiang, Chunjing Qu, Shen Gu, Chad A. Shaw, Janice L. Smith, Seema Lalani, Pawel Stankiewicz, Sau-Wai Cheung, Carlos A. Bacino, Ankita Patel, Amy M. Breman, Xia Wang, Linyan Meng, Rui Xiao, Fan Xia, Donna Muzny, Richard A. Gibbs, Arthur L. Beaudet, Christine M. Eng, James R. Lupski, Yaping Yang, Weimin Bi

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Twitter Demographics

The data shown below were collected from the profiles of 9 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Other 7 16%
Student > Doctoral Student 5 11%
Student > Ph. D. Student 4 9%
Student > Postgraduate 3 7%
Other 6 14%
Unknown 8 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 34%
Medicine and Dentistry 7 16%
Agricultural and Biological Sciences 2 5%
Unspecified 1 2%
Psychology 1 2%
Other 3 7%
Unknown 15 34%

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 28 December 2019.
All research outputs
#6,305,935
of 21,347,686 outputs
Outputs from Genome Medicine
#1,004
of 1,355 outputs
Outputs of similar age
#103,633
of 286,670 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,347,686 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one is in the 25th percentile – i.e., 25% 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 286,670 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 63% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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