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 |
PILER-CR: Fast and accurate identification of CRISPR repeats
|
|---|---|
| Published in |
BMC Bioinformatics, January 2007
|
| DOI | 10.1186/1471-2105-8-18 |
| Pubmed ID | |
| Authors |
Robert C Edgar |
| Abstract |
Sequencing of prokaryotic genomes has recently revealed the presence of CRISPR elements: short, highly conserved repeats separated by unique sequences of similar length. The distinctive sequence signature of CRISPR repeats can be found using general-purpose repeat- or pattern-finding software tools. However, the output of such tools is not always ideal for studying these repeats, and significant effort is sometimes needed to build additional tools and perform manual analysis of the output. |
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 % |
|---|---|---|
| Unknown | 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 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| New Zealand | 2 | <1% |
| Brazil | 2 | <1% |
| Netherlands | 1 | <1% |
| South Africa | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 330 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 84 | 23% |
| Student > Ph. D. Student | 81 | 23% |
| Student > Master | 37 | 10% |
| Student > Bachelor | 36 | 10% |
| Professor > Associate Professor | 22 | 6% |
| Other | 47 | 13% |
| Unknown | 51 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 157 | 44% |
| Biochemistry, Genetics and Molecular Biology | 64 | 18% |
| Computer Science | 23 | 6% |
| Immunology and Microbiology | 19 | 5% |
| Engineering | 9 | 3% |
| Other | 24 | 7% |
| Unknown | 62 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 29 February 2024.
All research outputs
#2,615,755
of 24,411,829 outputs
Outputs from BMC Bioinformatics
#763
of 7,530 outputs
Outputs of similar age
#9,478
of 166,622 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 48 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,530 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 well, scoring higher than 89% 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 166,622 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 94% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.