You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Oculus: faster sequence alignment by streaming read compression
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-297 |
| Pubmed ID | |
| Authors |
Brendan A Veeneman, Matthew K Iyer, Arul M Chinnaiyan |
| Abstract |
Despite significant advancement in alignment algorithms, the exponential growth of nucleotide sequencing throughput threatens to outpace bioinformatic analysis. Computation may become the bottleneck of genome analysis if growing alignment costs are not mitigated by further improvement in algorithms. Much gain has been gleaned from indexing and compressing alignment databases, but many widely used alignment tools process input reads sequentially and are oblivious to any underlying redundancy in the reads themselves. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 32% |
| France | 3 | 14% |
| Sweden | 2 | 9% |
| Germany | 2 | 9% |
| Australia | 2 | 9% |
| Canada | 2 | 9% |
| Peru | 1 | 5% |
| Norway | 1 | 5% |
| Denmark | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 1 | 5% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 73% |
| Members of the public | 5 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 13% |
| Sweden | 2 | 3% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| Czechia | 1 | 1% |
| Norway | 1 | 1% |
| Unknown | 57 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 32% |
| Student > Ph. D. Student | 19 | 26% |
| Professor > Associate Professor | 7 | 10% |
| Student > Master | 7 | 10% |
| Professor | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 46% |
| Computer Science | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Engineering | 4 | 6% |
| Psychology | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 3 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 27 January 2022.
All research outputs
#2,094,546
of 23,340,595 outputs
Outputs from BMC Bioinformatics
#534
of 7,388 outputs
Outputs of similar age
#14,550
of 180,710 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 104 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 92% 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 180,710 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.