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Mendeley readers
Attention Score in Context
| Title |
Multivariate analysis of microarray data: differential expression and differential connection
|
|---|---|
| Published in |
BMC Bioinformatics, February 2011
|
| DOI | 10.1186/1471-2105-12-42 |
| Pubmed ID | |
| Authors |
Harri T Kiiveri |
| Abstract |
Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically allows for correlation between genes. As a result we combine gene network ideas with linear models and differential expression. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| Japan | 2 | 4% |
| Malaysia | 1 | 2% |
| Sweden | 1 | 2% |
| Finland | 1 | 2% |
| Czechia | 1 | 2% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| United Kingdom | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 34 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 30% |
| Student > Ph. D. Student | 12 | 26% |
| Professor | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Student > Postgraduate | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 47% |
| Computer Science | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Mathematics | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 2 | 4% |
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 02 February 2011.
All research outputs
#20,143,522
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#6,808
of 7,234 outputs
Outputs of similar age
#171,512
of 182,320 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 44 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 182,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.