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Mendeley readers
Attention Score in Context
| Title |
A database and API for variation, dense genotyping and resequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-238 |
| Pubmed ID | |
| Authors |
Daniel Rios, William M McLaren, Yuan Chen, Ewan Birney, Arne Stabenau, Paul Flicek, Fiona Cunningham |
| Abstract |
Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale resequencing projects. The 1000 Genomes Project and similar efforts in other species are challenging the methods previously used for storage and manipulation of such data necessitating the redesign of existing genome-wide bioinformatics resources. |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| United Kingdom | 5 | 5% |
| Brazil | 4 | 4% |
| Belgium | 3 | 3% |
| France | 2 | 2% |
| Iceland | 1 | <1% |
| Sweden | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 86 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 37% |
| Student > Ph. D. Student | 14 | 13% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Other | 7 | 6% |
| Other | 19 | 17% |
| Unknown | 8 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 62% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Medicine and Dentistry | 7 | 6% |
| Computer Science | 6 | 5% |
| Linguistics | 1 | <1% |
| Other | 8 | 7% |
| Unknown | 10 | 9% |
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 24 November 2010.
All research outputs
#3,577,557
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#1,309
of 7,234 outputs
Outputs of similar age
#15,339
of 94,873 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 69 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,234 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 done well, scoring higher than 81% 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 94,873 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 83% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.