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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A two-phase binning algorithm using l-mer frequency on groups of non-overlapping reads
|
|---|---|
| Published in |
Algorithms for Molecular Biology, January 2015
|
| DOI | 10.1186/s13015-014-0030-4 |
| Pubmed ID | |
| Authors |
Le Van Vinh, Tran Van Lang, Le Thanh Binh, Tran Van Hoai |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 5% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 8 | 19% |
| Student > Doctoral Student | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 9 | 21% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 38% |
| Agricultural and Biological Sciences | 9 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Earth and Planetary Sciences | 2 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 April 2015.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Algorithms for Molecular Biology
#118
of 268 outputs
Outputs of similar age
#206,770
of 364,465 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 12 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 268 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 364,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.