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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SparkBLAST: scalable BLAST processing using in-memory operations
|
|---|---|
| Published in |
BMC Bioinformatics, June 2017
|
| DOI | 10.1186/s12859-017-1723-8 |
| Pubmed ID | |
| Authors |
Marcelo Rodrigo de Castro, Catherine dos Santos Tostes, Alberto M. R. Dávila, Hermes Senger, Fabricio A. B. da Silva |
| Abstract |
The demand for processing ever increasing amounts of genomic data has raised new challenges for the implementation of highly scalable and efficient computational systems. In this paper we propose SparkBLAST, a parallelization of a sequence alignment application (BLAST) that employs cloud computing for the provisioning of computational resources and Apache Spark as the coordination framework. As a proof of concept, some radionuclide-resistant bacterial genomes were selected for similarity analysis. Experiments in Google and Microsoft Azure clouds demonstrated that SparkBLAST outperforms an equivalent system implemented on Hadoop in terms of speedup and execution times. The superior performance of SparkBLAST is mainly due to the in-memory operations available through the Spark framework, consequently reducing the number of local I/O operations required for distributed BLAST processing. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| Israel | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 22% |
| Researcher | 7 | 14% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Bachelor | 7 | 14% |
| Professor > Associate Professor | 5 | 10% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 27% |
| Agricultural and Biological Sciences | 13 | 25% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Engineering | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 8 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 June 2017.
All research outputs
#7,697,099
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#3,046
of 7,400 outputs
Outputs of similar age
#120,203
of 316,805 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 111 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,400 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 gotten more attention than average, scoring higher than 58% 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 316,805 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 61% of its contemporaries.
We're also able to compare this research output to 111 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 60% of its contemporaries.