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Aspects of coverage in medical DNA sequencing

Overview of attention for article published in BMC Bioinformatics, May 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
83 Mendeley
citeulike
7 CiteULike
connotea
5 Connotea
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Title
Aspects of coverage in medical DNA sequencing
Published in
BMC Bioinformatics, May 2008
DOI 10.1186/1471-2105-9-239
Pubmed ID
Authors

Michael C Wendl, Richard K Wilson

Abstract

DNA sequencing is now emerging as an important component in biomedical studies of diseases like cancer. Short-read, highly parallel sequencing instruments are expected to be used heavily for such projects, but many design specifications have yet to be conclusively established. Perhaps the most fundamental of these is the redundancy required to detect sequence variations, which bears directly upon genomic coverage and the consequent resolving power for discerning somatic mutations.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 7%
Germany 2 2%
Brazil 1 1%
Belgium 1 1%
Argentina 1 1%
Unknown 72 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 30%
Student > Ph. D. Student 16 19%
Student > Master 8 10%
Professor 5 6%
Student > Bachelor 4 5%
Other 17 20%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 59%
Biochemistry, Genetics and Molecular Biology 13 16%
Computer Science 4 5%
Mathematics 3 4%
Philosophy 1 1%
Other 4 5%
Unknown 9 11%

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 07 November 2020.
All research outputs
#5,415,093
of 19,296,398 outputs
Outputs from BMC Bioinformatics
#2,199
of 6,571 outputs
Outputs of similar age
#78,748
of 306,506 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 19,296,398 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 6,571 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 65% 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 306,506 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 73% 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