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 |
SHRiMP: Accurate Mapping of Short Color-space Reads
|
|---|---|
| Published in |
PLoS Computational Biology, May 2009
|
| DOI | 10.1371/journal.pcbi.1000386 |
| Pubmed ID | |
| Authors |
Stephen M. Rumble, Phil Lacroute, Adrian V. Dalca, Marc Fiume, Arend Sidow, Michael Brudno |
| Abstract |
The development of Next Generation Sequencing technologies, capable of sequencing hundreds of millions of short reads (25-70 bp each) in a single run, is opening the door to population genomic studies of non-model species. In this paper we present SHRiMP - the SHort Read Mapping Package: a set of algorithms and methods to map short reads to a genome, even in the presence of a large amount of polymorphism. Our method is based upon a fast read mapping technique, separate thorough alignment methods for regular letter-space as well as AB SOLiD (color-space) reads, and a statistical model for false positive hits. We use SHRiMP to map reads from a newly sequenced Ciona savignyi individual to the reference genome. We demonstrate that SHRiMP can accurately map reads to this highly polymorphic genome, while confirming high heterozygosity of C. savignyi in this second individual. SHRiMP is freely available at http://compbio.cs.toronto.edu/shrimp. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 572 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 26 | 5% |
| Brazil | 8 | 1% |
| United Kingdom | 8 | 1% |
| Netherlands | 6 | 1% |
| Italy | 5 | <1% |
| France | 5 | <1% |
| Germany | 4 | <1% |
| Australia | 3 | <1% |
| Mexico | 3 | <1% |
| Other | 20 | 3% |
| Unknown | 484 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 150 | 26% |
| Researcher | 141 | 25% |
| Student > Master | 69 | 12% |
| Professor > Associate Professor | 38 | 7% |
| Student > Bachelor | 34 | 6% |
| Other | 112 | 20% |
| Unknown | 28 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 345 | 60% |
| Computer Science | 69 | 12% |
| Biochemistry, Genetics and Molecular Biology | 60 | 10% |
| Medicine and Dentistry | 15 | 3% |
| Engineering | 11 | 2% |
| Other | 34 | 6% |
| Unknown | 38 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 16 April 2024.
All research outputs
#2,154,942
of 25,784,004 outputs
Outputs from PLoS Computational Biology
#1,879
of 9,037 outputs
Outputs of similar age
#6,599
of 107,552 outputs
Outputs of similar age from PLoS Computational Biology
#13
of 47 outputs
Altmetric has tracked 25,784,004 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 9,037 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 79% 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 107,552 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 93% of its contemporaries.
We're also able to compare this research output to 47 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 72% of its contemporaries.