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 |
Accurate prediction of protein enzymatic class by N-to-1 Neural Networks
|
|---|---|
| Published in |
BMC Bioinformatics, January 2013
|
| DOI | 10.1186/1471-2105-14-s1-s11 |
| Pubmed ID | |
| Authors |
Viola Volpato, Alessandro Adelfio, Gianluca Pollastri |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 19% |
| Researcher | 7 | 19% |
| Student > Ph. D. Student | 7 | 19% |
| Professor > Associate Professor | 3 | 8% |
| Student > Master | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 24% |
| Computer Science | 7 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Mathematics | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 9 | 24% |
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 25 April 2019.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from BMC Bioinformatics
#3,058
of 7,354 outputs
Outputs of similar age
#86,462
of 286,233 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 138 outputs
Altmetric has tracked 23,205,257 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,354 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 50% 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 286,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 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 50% of its contemporaries.