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Functional DNA quantification guides accurate next-generation sequencing mutation detection in formalin-fixed, paraffin-embedded tumor biopsies

Overview of attention for article published in Genome Medicine, August 2013
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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 (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
2 CiteULike
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Title
Functional DNA quantification guides accurate next-generation sequencing mutation detection in formalin-fixed, paraffin-embedded tumor biopsies
Published in
Genome Medicine, August 2013
DOI 10.1186/gm481
Pubmed ID
Authors

Sachin Sah, Liangjing Chen, Jeffrey Houghton, Jon Kemppainen, Adam C Marko, Robert Zeigler, Gary J Latham

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Ireland 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Singapore 1 <1%
Canada 1 <1%
Denmark 1 <1%
Sri Lanka 1 <1%
Other 0 0%
Unknown 138 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 30%
Other 20 14%
Student > Ph. D. Student 16 11%
Student > Master 16 11%
Student > Bachelor 13 9%
Other 22 15%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 34%
Biochemistry, Genetics and Molecular Biology 42 28%
Medicine and Dentistry 24 16%
Immunology and Microbiology 4 3%
Computer Science 2 1%
Other 6 4%
Unknown 19 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 February 2024.
All research outputs
#3,811,982
of 25,440,205 outputs
Outputs from Genome Medicine
#810
of 1,588 outputs
Outputs of similar age
#32,039
of 211,999 outputs
Outputs of similar age from Genome Medicine
#13
of 25 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 48th percentile – i.e., 48% 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 211,999 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 84% of its contemporaries.
We're also able to compare this research output to 25 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 52% of its contemporaries.