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Solving the molecular diagnostic testing conundrum for Mendelian disorders in the era of next-generation sequencing: single-gene, gene panel, or exome/genome sequencing

Overview of attention for article published in Genetics in Medicine, September 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users
facebook
3 Facebook pages

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
385 Mendeley
Title
Solving the molecular diagnostic testing conundrum for Mendelian disorders in the era of next-generation sequencing: single-gene, gene panel, or exome/genome sequencing
Published in
Genetics in Medicine, September 2014
DOI 10.1038/gim.2014.122
Pubmed ID
Authors

Yuan Xue, Arunkanth Ankala, William R. Wilcox, Madhuri R. Hegde

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 <1%
United Kingdom 2 <1%
South Africa 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 376 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 16%
Researcher 52 14%
Student > Ph. D. Student 52 14%
Student > Bachelor 51 13%
Other 35 9%
Other 59 15%
Unknown 73 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 111 29%
Medicine and Dentistry 87 23%
Agricultural and Biological Sciences 63 16%
Neuroscience 11 3%
Unspecified 6 2%
Other 27 7%
Unknown 80 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 September 2022.
All research outputs
#6,521,817
of 26,017,215 outputs
Outputs from Genetics in Medicine
#1,662
of 2,978 outputs
Outputs of similar age
#62,211
of 264,174 outputs
Outputs of similar age from Genetics in Medicine
#19
of 33 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 74th percentile.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 43rd percentile – i.e., 43% 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 264,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.