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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SeqWare Query Engine: storing and searching sequence data in the cloud
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-s12-s2 |
| Pubmed ID | |
| Authors |
Brian D O’Connor, Barry Merriman, Stanley F Nelson |
| Abstract |
Since the introduction of next-generation DNA sequencers the rapid increase in sequencer throughput, and associated drop in costs, has resulted in more than a dozen human genomes being resequenced over the last few years. These efforts are merely a prelude for a future in which genome resequencing will be commonplace for both biomedical research and clinical applications. The dramatic increase in sequencer output strains all facets of computational infrastructure, especially databases and query interfaces. The advent of cloud computing, and a variety of powerful tools designed to process petascale datasets, provide a compelling solution to these ever increasing demands. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 6% |
| Germany | 3 | 2% |
| France | 2 | 1% |
| Australia | 2 | 1% |
| Canada | 2 | 1% |
| Spain | 2 | 1% |
| Japan | 2 | 1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 129 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 26% |
| Student > Ph. D. Student | 31 | 20% |
| Student > Master | 29 | 19% |
| Student > Bachelor | 10 | 6% |
| Other | 9 | 6% |
| Other | 32 | 21% |
| Unknown | 5 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 36% |
| Computer Science | 53 | 34% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Engineering | 8 | 5% |
| Medicine and Dentistry | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 11 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from BMC Bioinformatics
#6,307
of 7,273 outputs
Outputs of similar age
#161,609
of 182,003 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 53 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 182,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.