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Mendeley readers
Attention Score in Context
| Title |
The identification of informative genes from multiple datasets with increasing complexity
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-32 |
| Pubmed ID | |
| Authors |
S Yahya Anvar, Peter AC 't Hoen, Allan Tucker |
| Abstract |
In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datasets derived from related biological systems leads to more robust models. Therefore, we developed a novel framework for modelling regulatory networks that involves training and evaluation on independent datasets. Our approach includes the following steps: (1) ordering the datasets based on their level of noise and informativeness; (2) selection of a Bayesian classifier with an appropriate level of complexity by evaluation of predictive performance on independent data sets; (3) comparing the different gene selections and the influence of increasing the model complexity; (4) functional analysis of the informative genes. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 10% |
| Spain | 3 | 7% |
| Germany | 1 | 2% |
| Hong Kong | 1 | 2% |
| Turkey | 1 | 2% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 29 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 34% |
| Student > Ph. D. Student | 8 | 20% |
| Other | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 39% |
| Computer Science | 9 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Medicine and Dentistry | 4 | 10% |
| Mathematics | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 2 | 5% |
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 11 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from BMC Bioinformatics
#6,820
of 7,247 outputs
Outputs of similar age
#171,385
of 179,091 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 59 outputs
Altmetric has tracked 22,671,366 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 7,247 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 179,091 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 59 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.