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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cloud computing for comparative genomics
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-259 |
| Pubmed ID | |
| Authors |
Dennis P Wall, Parul Kudtarkar, Vincent A Fusaro, Rimma Pivovarov, Prasad Patil, Peter J Tonellato |
| Abstract |
Large comparative genomics studies and tools are becoming increasingly more compute-expensive as the number of available genome sequences continues to rise. The capacity and cost of local computing infrastructures are likely to become prohibitive with the increase, especially as the breadth of questions continues to rise. Alternative computing architectures, in particular cloud computing environments, may help alleviate this increasing pressure and enable fast, large-scale, and cost-effective comparative genomics strategies going forward. To test this, we redesigned a typical comparative genomics algorithm, the reciprocal smallest distance algorithm (RSD), to run within Amazon's Elastic Computing Cloud (EC2). We then employed the RSD-cloud for ortholog calculations across a wide selection of fully sequenced genomes. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 5% |
| Brazil | 5 | 3% |
| Germany | 3 | 2% |
| United Kingdom | 3 | 2% |
| Spain | 2 | 1% |
| India | 2 | 1% |
| France | 1 | <1% |
| Turkey | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 11 | 6% |
| Unknown | 155 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 22% |
| Researcher | 43 | 22% |
| Student > Master | 27 | 14% |
| Student > Bachelor | 16 | 8% |
| Other | 11 | 6% |
| Other | 44 | 23% |
| Unknown | 10 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 36% |
| Agricultural and Biological Sciences | 70 | 36% |
| Engineering | 9 | 5% |
| Medicine and Dentistry | 6 | 3% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 19 | 10% |
| Unknown | 15 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 October 2019.
All research outputs
#4,077,509
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#1,584
of 7,247 outputs
Outputs of similar age
#16,983
of 94,182 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 74 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 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 78% 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 94,182 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 81% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.