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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Group sparse canonical correlation analysis for genomic data integration
|
|---|---|
| Published in |
BMC Bioinformatics, August 2013
|
| DOI | 10.1186/1471-2105-14-245 |
| Pubmed ID | |
| Authors |
Dongdong Lin, Jigang Zhang, Jingyao Li, Vince D Calhoun, Hong-Wen Deng, Yu-Ping Wang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Japan | 3 | 2% |
| Brazil | 2 | 1% |
| Sweden | 2 | 1% |
| Belgium | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 139 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 30% |
| Researcher | 33 | 22% |
| Professor > Associate Professor | 11 | 7% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 9 | 6% |
| Other | 25 | 16% |
| Unknown | 20 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 21% |
| Agricultural and Biological Sciences | 27 | 18% |
| Mathematics | 16 | 10% |
| Biochemistry, Genetics and Molecular Biology | 14 | 9% |
| Engineering | 14 | 9% |
| Other | 21 | 14% |
| Unknown | 29 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 August 2013.
All research outputs
#13,765,625
of 23,340,595 outputs
Outputs from BMC Bioinformatics
#4,303
of 7,388 outputs
Outputs of similar age
#105,597
of 198,855 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 76 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,388 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 38th percentile – i.e., 38% 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 198,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.