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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Squid – a simple bioinformatics grid
|
|---|---|
| Published in |
BMC Bioinformatics, August 2005
|
| DOI | 10.1186/1471-2105-6-197 |
| Pubmed ID | |
| Authors |
Paulo C Carvalho, Rafael V Glória, Antonio B de Miranda, Wim M Degrave |
| Abstract |
BLAST is a widely used genetic research tool for analysis of similarity between nucleotide and protein sequences. This paper presents a software application entitled "Squid" that makes use of grid technology. The current version, as an example, is configured for BLAST applications, but adaptation for other computing intensive repetitive tasks can be easily accomplished in the open source version. This enables the allocation of remote resources to perform distributed computing, making large BLAST queries viable without the need of high-end computers. |
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 States | 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 7% |
| France | 1 | 4% |
| United Kingdom | 1 | 4% |
| Japan | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 22 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 32% |
| Student > Ph. D. Student | 5 | 18% |
| Student > Bachelor | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Student > Master | 3 | 11% |
| Other | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 57% |
| Computer Science | 3 | 11% |
| Mathematics | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 11% |
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 11 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from BMC Bioinformatics
#5,365
of 7,260 outputs
Outputs of similar age
#50,657
of 57,294 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 24 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,260 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 18th percentile – i.e., 18% 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 57,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.