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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CaPSID: A bioinformatics platform for computational pathogen sequence identification in human genomes and transcriptomes
|
|---|---|
| Published in |
BMC Bioinformatics, August 2012
|
| DOI | 10.1186/1471-2105-13-206 |
| Pubmed ID | |
| Authors |
Ivan Borozan, Shane Wilson, Paola Blanchette, Philippe Laflamme, Stuart N Watt, Paul M Krzyzanowski, Fabrice Sircoulomb, Robert Rottapel, Philip E Branton, Vincent Ferretti |
| Abstract |
It is now well established that nearly 20% of human cancers are caused by infectious agents, and the list of human oncogenic pathogens will grow in the future for a variety of cancer types. Whole tumor transcriptome and genome sequencing by next-generation sequencing technologies presents an unparalleled opportunity for pathogen detection and discovery in human tissues but requires development of new genome-wide bioinformatics tools. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 8% |
| United Kingdom | 2 | 2% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Colombia | 1 | 1% |
| India | 1 | 1% |
| Portugal | 1 | 1% |
| China | 1 | 1% |
| Sweden | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 81 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 33% |
| Student > Ph. D. Student | 21 | 21% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 6 | 6% |
| Other | 6 | 6% |
| Other | 9 | 9% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 46% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Computer Science | 11 | 11% |
| Medicine and Dentistry | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 11 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 13 September 2012.
All research outputs
#2,947,630
of 24,588,574 outputs
Outputs from BMC Bioinformatics
#910
of 7,556 outputs
Outputs of similar age
#19,071
of 175,036 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 100 outputs
Altmetric has tracked 24,588,574 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,556 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 87% 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 175,036 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 89% of its contemporaries.
We're also able to compare this research output to 100 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 90% of its contemporaries.