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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Separating metagenomic short reads into genomes via clustering
|
|---|---|
| Published in |
Algorithms for Molecular Biology, September 2012
|
| DOI | 10.1186/1748-7188-7-27 |
| Pubmed ID | |
| Authors |
Olga Tanaseichuk, James Borneman, Tao Jiang |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| China | 1 | 9% |
| Russia | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 7% |
| Brazil | 2 | 2% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| South Africa | 1 | 1% |
| Italy | 1 | 1% |
| Canada | 1 | 1% |
| Israel | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 69 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 22 | 26% |
| Student > Master | 13 | 15% |
| Student > Doctoral Student | 6 | 7% |
| Other | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 58% |
| Computer Science | 16 | 19% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Environmental Science | 3 | 4% |
| Mathematics | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 5 | 6% |
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 April 2015.
All research outputs
#6,406,971
of 25,837,817 outputs
Outputs from Algorithms for Molecular Biology
#46
of 268 outputs
Outputs of similar age
#46,646
of 193,070 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 268 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 82% 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 193,070 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 75% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.