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Mendeley readers
Attention Score in Context
| Title |
The theory of discovering rare variants via DNA sequencing
|
|---|---|
| Published in |
BMC Genomics, October 2009
|
| DOI | 10.1186/1471-2164-10-485 |
| Pubmed ID | |
| Authors |
Michael C Wendl, Richard K Wilson |
| Abstract |
Rare population variants are known to have important biomedical implications, but their systematic discovery has only recently been enabled by advances in DNA sequencing. The design process of a discovery project remains formidable, being limited to ad hoc mixtures of extensive computer simulation and pilot sequencing. Here, the task is examined from a general mathematical perspective. |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 10% |
| Germany | 2 | 2% |
| Colombia | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 80 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 46% |
| Student > Ph. D. Student | 18 | 18% |
| Professor > Associate Professor | 7 | 7% |
| Professor | 6 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 60% |
| Medicine and Dentistry | 13 | 13% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Mathematics | 6 | 6% |
| Computer Science | 4 | 4% |
| Other | 3 | 3% |
| Unknown | 4 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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
#5,446,210
of 25,371,288 outputs
Outputs from BMC Genomics
#2,155
of 11,244 outputs
Outputs of similar age
#21,220
of 107,318 outputs
Outputs of similar age from BMC Genomics
#12
of 55 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 107,318 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 72% of its contemporaries.
We're also able to compare this research output to 55 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 72% of its contemporaries.