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Mendeley readers
Attention Score in Context
| Title |
PyCogent: a toolkit for making sense from sequence
|
|---|---|
| Published in |
Genome Biology, August 2007
|
| DOI | 10.1186/gb-2007-8-8-r171 |
| Pubmed ID | |
| Authors |
Rob Knight, Peter Maxwell, Amanda Birmingham, Jason Carnes, J Gregory Caporaso, Brett C Easton, Michael Eaton, Micah Hamady, Helen Lindsay, Zongzhi Liu, Catherine Lozupone, Daniel McDonald, Michael Robeson, Raymond Sammut, Sandra Smit, Matthew J Wakefield, Jeremy Widmann, Shandy Wikman, Stephanie Wilson, Hua Ying, Gavin A Huttley |
Mendeley readers
The data shown below were compiled from readership statistics for 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 5% |
| United Kingdom | 6 | 2% |
| France | 5 | 1% |
| Germany | 4 | 1% |
| Australia | 4 | 1% |
| Spain | 3 | <1% |
| Italy | 3 | <1% |
| Sweden | 3 | <1% |
| Brazil | 3 | <1% |
| Other | 14 | 4% |
| Unknown | 286 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 109 | 31% |
| Student > Ph. D. Student | 67 | 19% |
| Student > Master | 35 | 10% |
| Student > Bachelor | 25 | 7% |
| Professor > Associate Professor | 20 | 6% |
| Other | 66 | 19% |
| Unknown | 28 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 196 | 56% |
| Biochemistry, Genetics and Molecular Biology | 41 | 12% |
| Computer Science | 27 | 8% |
| Medicine and Dentistry | 11 | 3% |
| Environmental Science | 8 | 2% |
| Other | 35 | 10% |
| Unknown | 32 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 October 2023.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#28,485
of 79,708 outputs
Outputs of similar age from Genome Biology
#20
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 79,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.