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 |
Automated Protein Subfamily Identification and Classification
|
---|---|
Published in |
PLoS Computational Biology, August 2007
|
DOI | 10.1371/journal.pcbi.0030160 |
Pubmed ID | |
Authors |
Duncan P Brown, Nandini Krishnamurthy, Kimmen Sjölander |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 7% |
United Kingdom | 7 | 4% |
Brazil | 6 | 4% |
France | 4 | 3% |
Australia | 1 | <1% |
Switzerland | 1 | <1% |
Israel | 1 | <1% |
Canada | 1 | <1% |
Sweden | 1 | <1% |
Other | 4 | 3% |
Unknown | 119 | 76% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 31% |
Student > Ph. D. Student | 39 | 25% |
Professor > Associate Professor | 11 | 7% |
Other | 10 | 6% |
Student > Master | 10 | 6% |
Other | 32 | 21% |
Unknown | 5 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 98 | 63% |
Biochemistry, Genetics and Molecular Biology | 22 | 14% |
Computer Science | 16 | 10% |
Physics and Astronomy | 3 | 2% |
Immunology and Microbiology | 2 | 1% |
Other | 5 | 3% |
Unknown | 10 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 08 March 2018.
All research outputs
#2,225,825
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#1,993
of 9,003 outputs
Outputs of similar age
#4,547
of 79,877 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 27 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 77% 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 79,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.