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X Demographics
Mendeley readers
Attention Score in Context
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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
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 | 16 | 19% |
Unknown | 9 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 48 | 58% |
Biochemistry, Genetics and Molecular Biology | 13 | 16% |
Computer Science | 4 | 5% |
Mathematics | 3 | 4% |
Philosophy | 1 | 1% |
Other | 4 | 5% |
Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 March 2023.
All research outputs
#6,091,751
of 23,477,147 outputs
Outputs from BMC Bioinformatics
#2,210
of 7,394 outputs
Outputs of similar age
#24,517
of 84,418 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 49 outputs
Altmetric has tracked 23,477,147 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,394 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 84,418 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 70% of its contemporaries.
We're also able to compare this research output to 49 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 61% of its contemporaries.