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Clinical impact of copy number variation analysis using high-resolution microarray technologies: advantages, limitations and concerns

Overview of attention for article published in Genome Medicine, October 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
1 CiteULike
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Title
Clinical impact of copy number variation analysis using high-resolution microarray technologies: advantages, limitations and concerns
Published in
Genome Medicine, October 2012
DOI 10.1186/gm381
Pubmed ID
Authors

Curtis R Coughlin, Gunter H Scharer, Tamim H Shaikh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Italy 1 <1%
Canada 1 <1%
Unknown 112 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Researcher 22 19%
Student > Master 17 14%
Student > Doctoral Student 9 8%
Student > Bachelor 9 8%
Other 18 15%
Unknown 18 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 25%
Agricultural and Biological Sciences 29 25%
Medicine and Dentistry 20 17%
Neuroscience 4 3%
Psychology 3 3%
Other 10 8%
Unknown 23 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 November 2012.
All research outputs
#5,559,705
of 25,837,817 outputs
Outputs from Genome Medicine
#1,011
of 1,611 outputs
Outputs of similar age
#41,004
of 204,520 outputs
Outputs of similar age from Genome Medicine
#14
of 22 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 35th percentile – i.e., 35% 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 204,520 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 79% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.