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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive analysis of correlation coefficients estimated from pooling heterogeneous microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2013
|
| DOI | 10.1186/1471-2105-14-214 |
| Pubmed ID | |
| Authors |
Márcia M Almeida-de-Macedo, Nick Ransom, Yaping Feng, Jonathan Hurst, Eve Syrkin Wurtele |
| Abstract |
The synthesis of information across microarray studies has been performed by combining statistical results of individual studies (as in a mosaic), or by combining data from multiple studies into a large pool to be analyzed as a single data set (as in a melting pot of data). Specific issues relating to data heterogeneity across microarray studies, such as differences within and between labs or differences among experimental conditions, could lead to equivocal results in a melting pot approach. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 35 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 36% |
| Student > Ph. D. Student | 10 | 26% |
| Professor | 7 | 18% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 5% |
| Other | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 38% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Engineering | 4 | 10% |
| Computer Science | 4 | 10% |
| Economics, Econometrics and Finance | 2 | 5% |
| Other | 9 | 23% |
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 08 July 2013.
All research outputs
#18,341,369
of 22,713,403 outputs
Outputs from BMC Bioinformatics
#6,293
of 7,259 outputs
Outputs of similar age
#145,898
of 194,350 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 91 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 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 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 194,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.