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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole exome capture in solution with 3 Gbp of data
|
|---|---|
| Published in |
Genome Biology, June 2010
|
| DOI | 10.1186/gb-2010-11-6-r62 |
| Pubmed ID | |
| Authors |
Matthew N Bainbridge, Min Wang, Daniel L Burgess, Christie Kovar, Matthew J Rodesch, Mark D'Ascenzo, Jacob Kitzman, Yuan-Qing Wu, Irene Newsham, Todd A Richmond, Jeffrey A Jeddeloh, Donna Muzny, Thomas J Albert, Richard A Gibbs |
| Abstract |
We have developed a solution-based method for targeted DNA capture-sequencing that is directed to the complete human exome. Using this approach allows the discovery of greater than 95% of all expected heterozygous singe base variants, requires as little as 3 Gbp of raw sequence data and constitutes an effective tool for identifying rare coding alleles in large scale genomic studies. |
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 Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 5% |
| United Kingdom | 8 | 3% |
| Germany | 4 | 1% |
| Netherlands | 3 | 1% |
| India | 3 | 1% |
| Brazil | 2 | <1% |
| Belgium | 2 | <1% |
| Colombia | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 242 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 91 | 32% |
| Student > Ph. D. Student | 69 | 24% |
| Professor > Associate Professor | 24 | 8% |
| Student > Master | 24 | 8% |
| Professor | 18 | 6% |
| Other | 45 | 16% |
| Unknown | 13 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 174 | 61% |
| Biochemistry, Genetics and Molecular Biology | 37 | 13% |
| Medicine and Dentistry | 29 | 10% |
| Computer Science | 5 | 2% |
| Chemistry | 5 | 2% |
| Other | 11 | 4% |
| Unknown | 23 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 19 March 2024.
All research outputs
#1,793,215
of 25,374,647 outputs
Outputs from Genome Biology
#1,489
of 4,467 outputs
Outputs of similar age
#5,980
of 103,848 outputs
Outputs of similar age from Genome Biology
#7
of 35 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 66% 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 103,848 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.