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 |
Bio-samtools: Ruby bindings for SAMtools, a library for accessing BAM files containing high-throughput sequence alignments
|
|---|---|
| Published in |
Source Code for Biology and Medicine, May 2012
|
| DOI | 10.1186/1751-0473-7-6 |
| Pubmed ID | |
| Authors |
Ricardo H Ramirez-Gonzalez, Raoul Bonnal, Mario Caccamo, Daniel MacLean |
| Abstract |
The SAMtools utilities comprise a very useful and widely used suite of software for manipulating files and alignments in the SAM and BAM format, used in a wide range of genetic analyses. The SAMtools utilities are implemented in C and provide an API for programmatic access, to help make this functionality available to programmers wishing to develop in the high level Ruby language we have developed bio-samtools, a Ruby binding to the SAMtools library. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 3% |
| Malaysia | 1 | 2% |
| Belgium | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 58 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 25% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 7 | 11% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 11 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 37% |
| Biochemistry, Genetics and Molecular Biology | 17 | 27% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 May 2019.
All research outputs
#4,668,471
of 22,673,450 outputs
Outputs from Source Code for Biology and Medicine
#30
of 127 outputs
Outputs of similar age
#32,675
of 165,048 outputs
Outputs of similar age from Source Code for Biology and Medicine
#5
of 6 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 75% 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 165,048 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.