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Mendeley readers
Attention Score in Context
| Title |
Network-based support vector machine for classification of microarray samples
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-s1-s21 |
| Pubmed ID | |
| Authors |
Yanni Zhu, Xiaotong Shen, Wei Pan |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 2% |
| Germany | 2 | 2% |
| Spain | 1 | 1% |
| France | 1 | 1% |
| Unknown | 87 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 31% |
| Researcher | 22 | 24% |
| Student > Master | 8 | 9% |
| Professor > Associate Professor | 7 | 8% |
| Other | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 27% |
| Agricultural and Biological Sciences | 22 | 24% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Engineering | 6 | 6% |
| Mathematics | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 17 | 18% |
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 31 August 2021.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#49,999
of 171,540 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 59 outputs
Altmetric has tracked 23,035,022 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 7,318 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 171,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.