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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers
|
|---|---|
| Published in |
BMC Genomics, March 2015
|
| DOI | 10.1186/s12864-015-1419-2 |
| Pubmed ID | |
| Authors |
Rachid Ounit, Steve Wanamaker, Timothy J Close, Stefano Lonardi |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
| United Kingdom | 2 | 11% |
| India | 1 | 6% |
| Sweden | 1 | 6% |
| China | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 72% |
| Members of the public | 5 | 28% |
Mendeley readers
The data shown below were compiled from readership statistics for 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Canada | 3 | <1% |
| Brazil | 3 | <1% |
| France | 2 | <1% |
| Estonia | 2 | <1% |
| Germany | 2 | <1% |
| Sweden | 2 | <1% |
| United Kingdom | 2 | <1% |
| Norway | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 505 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 119 | 22% |
| Researcher | 100 | 19% |
| Student > Master | 76 | 14% |
| Student > Bachelor | 53 | 10% |
| Student > Doctoral Student | 30 | 6% |
| Other | 69 | 13% |
| Unknown | 88 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 162 | 30% |
| Biochemistry, Genetics and Molecular Biology | 121 | 23% |
| Computer Science | 73 | 14% |
| Engineering | 16 | 3% |
| Environmental Science | 14 | 3% |
| Other | 46 | 9% |
| Unknown | 103 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 17 May 2022.
All research outputs
#498,624
of 25,837,817 outputs
Outputs from BMC Genomics
#45
of 11,367 outputs
Outputs of similar age
#5,753
of 281,181 outputs
Outputs of similar age from BMC Genomics
#1
of 282 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 281,181 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 97% of its contemporaries.
We're also able to compare this research output to 282 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 99% of its contemporaries.