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The Centers for Mendelian Genomics: A new large‐scale initiative to identify the genes underlying rare Mendelian conditions

Overview of attention for article published in American Journal of Medical Genetics. Part A, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
109 Mendeley
citeulike
2 CiteULike
Title
The Centers for Mendelian Genomics: A new large‐scale initiative to identify the genes underlying rare Mendelian conditions
Published in
American Journal of Medical Genetics. Part A, May 2012
DOI 10.1002/ajmg.a.35470
Pubmed ID
Authors

Michael J. Bamshad, Jay A. Shendure, David Valle, Ada Hamosh, James R. Lupski, Richard A. Gibbs, Eric Boerwinkle, Richard P. Lifton, Mark Gerstein, Murat Gunel, Shrikant Mane, Deborah A. Nickerson, on behalf of the Centers for Mendelian Genomics

Abstract

Next generation exome sequencing (ES) and whole genome sequencing (WGS) are new powerful tools for discovering the gene(s) that underlie Mendelian disorders. To accelerate these discoveries, the National Institutes of Health has established three Centers for Mendelian Genomics (CMGs): the Center for Mendelian Genomics at the University of Washington; the Center for Mendelian Genomics at Yale University; and the Baylor-Johns Hopkins Center for Mendelian Genomics at Baylor College of Medicine and Johns Hopkins University. The CMGs will provide ES/WGS and extensive analysis expertise at no cost to collaborating investigators where the causal gene(s) for a Mendelian phenotype has yet to be uncovered. Over the next few years and in collaboration with the global human genetics community, the CMGs hope to facilitate the identification of the genes underlying a very large fraction of all Mendelian disorders; see http://mendelian.org.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Italy 1 <1%
France 1 <1%
United Kingdom 1 <1%
Hong Kong 1 <1%
Unknown 103 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 29%
Student > Ph. D. Student 25 23%
Student > Master 8 7%
Student > Bachelor 8 7%
Professor 6 6%
Other 19 17%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 34%
Medicine and Dentistry 22 20%
Biochemistry, Genetics and Molecular Biology 18 17%
Engineering 3 3%
Computer Science 2 2%
Other 11 10%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 December 2019.
All research outputs
#2,132,587
of 25,394,764 outputs
Outputs from American Journal of Medical Genetics. Part A
#93
of 4,210 outputs
Outputs of similar age
#12,764
of 177,910 outputs
Outputs of similar age from American Journal of Medical Genetics. Part A
#3
of 83 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,210 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 177,910 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.