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 |
Clustering metagenomic sequences with interpolated Markov models
|
|---|---|
| Published in |
BMC Bioinformatics, November 2010
|
| DOI | 10.1186/1471-2105-11-544 |
| Pubmed ID | |
| Authors |
David R Kelley, Steven L Salzberg |
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 % |
|---|---|---|
| Spain | 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 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 6% |
| Brazil | 9 | 3% |
| United Kingdom | 6 | 2% |
| Sweden | 4 | 1% |
| France | 3 | 1% |
| Germany | 2 | <1% |
| Kenya | 1 | <1% |
| Ireland | 1 | <1% |
| Finland | 1 | <1% |
| Other | 9 | 3% |
| Unknown | 231 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 73 | 26% |
| Student > Ph. D. Student | 69 | 24% |
| Student > Master | 40 | 14% |
| Student > Bachelor | 20 | 7% |
| Professor | 16 | 6% |
| Other | 47 | 17% |
| Unknown | 19 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 161 | 57% |
| Computer Science | 39 | 14% |
| Biochemistry, Genetics and Molecular Biology | 25 | 9% |
| Environmental Science | 10 | 4% |
| Mathematics | 6 | 2% |
| Other | 22 | 8% |
| Unknown | 21 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 June 2011.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#5,733
of 7,763 outputs
Outputs of similar age
#93,690
of 114,085 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 63 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 17th percentile – i.e., 17% 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 114,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.