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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A whitening approach to probabilistic canonical correlation analysis for omics data integration
|
|---|---|
| Published in |
BMC Bioinformatics, January 2019
|
| DOI | 10.1186/s12859-018-2572-9 |
| Pubmed ID | |
| Authors |
Takoua Jendoubi, Korbinian Strimmer |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Researcher | 13 | 17% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 12% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Agricultural and Biological Sciences | 8 | 11% |
| Neuroscience | 8 | 11% |
| Mathematics | 7 | 9% |
| Other | 16 | 21% |
| Unknown | 20 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 June 2022.
All research outputs
#5,425,270
of 22,699,621 outputs
Outputs from BMC Bioinformatics
#1,950
of 7,254 outputs
Outputs of similar age
#111,733
of 435,849 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 206 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 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 72% 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 435,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 206 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 72% of its contemporaries.