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.
Mendeley readers
Attention Score in Context
| Title |
BIO::Phylo-phyloinformatic analysis using perl
|
|---|---|
| Published in |
BMC Bioinformatics, February 2011
|
| DOI | 10.1186/1471-2105-12-63 |
| Pubmed ID | |
| Authors |
Rutger A Vos, Jason Caravas, Klaas Hartmann, Mark A Jensen, Chase Miller |
| Abstract |
Phyloinformatic analyses involve large amounts of data and metadata of complex structure. Collecting, processing, analyzing, visualizing and summarizing these data and metadata should be done in steps that can be automated and reproduced. This requires flexible, modular toolkits that can represent, manipulate and persist phylogenetic data and metadata as objects with programmable interfaces. |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 10% |
| Brazil | 5 | 4% |
| France | 4 | 3% |
| Australia | 2 | 2% |
| Sweden | 2 | 2% |
| Netherlands | 2 | 2% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 90 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 30% |
| Student > Ph. D. Student | 28 | 23% |
| Professor > Associate Professor | 10 | 8% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 25 | 20% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 70% |
| Computer Science | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Engineering | 5 | 4% |
| Environmental Science | 3 | 2% |
| Other | 7 | 6% |
| Unknown | 7 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2015.
All research outputs
#6,375,151
of 22,653,392 outputs
Outputs from BMC Bioinformatics
#2,470
of 7,236 outputs
Outputs of similar age
#33,988
of 108,194 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 36 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 108,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.