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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Support Vector Machines for predicting protein structural class
|
|---|---|
| Published in |
BMC Bioinformatics, June 2001
|
| DOI | 10.1186/1471-2105-2-3 |
| Pubmed ID | |
| Authors |
Yu-Dong Cai, Xiao-Jun Liu, Xue-biao Xu, Guo-Ping Zhou |
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 % |
|---|---|---|
| United States | 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Brazil | 2 | 3% |
| Finland | 1 | 1% |
| Colombia | 1 | 1% |
| Greece | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Unknown | 66 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 19% |
| Student > Ph. D. Student | 13 | 17% |
| Student > Bachelor | 12 | 16% |
| Student > Master | 11 | 15% |
| Professor > Associate Professor | 6 | 8% |
| Other | 15 | 20% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 35% |
| Agricultural and Biological Sciences | 14 | 19% |
| Engineering | 9 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Mathematics | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 7 | 9% |
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 22 December 2016.
All research outputs
#20,580,317
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#6,668
of 7,672 outputs
Outputs of similar age
#39,004
of 40,815 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 5th percentile – i.e., 5% 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 40,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them