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Mendeley readers
Attention Score in Context
| Title |
Exon arrays provide accurate assessments of gene expression
|
|---|---|
| Published in |
Genome Biology, May 2007
|
| DOI | 10.1186/gb-2007-8-5-r82 |
| Pubmed ID | |
| Authors |
Karen Kapur, Yi Xing, Zhengqing Ouyang, Wing Hung Wong |
| Abstract |
We have developed a strategy for estimating gene expression on Affymetrix Exon arrays. The method includes a probe-specific background correction and a probe selection strategy in which a subset of probes with highly correlated intensities across multiple samples are chosen to summarize gene expression. Our results demonstrate that the proposed background model offers improvements over the default Affymetrix background correction and that Exon arrays may provide more accurate measurements of gene expression than traditional 3' arrays. |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 9% |
| United Kingdom | 2 | 2% |
| Germany | 2 | 2% |
| Canada | 2 | 2% |
| Italy | 1 | <1% |
| Russia | 1 | <1% |
| Chile | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 93 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 33% |
| Student > Ph. D. Student | 35 | 31% |
| Professor > Associate Professor | 11 | 10% |
| Student > Master | 8 | 7% |
| Professor | 6 | 5% |
| Other | 13 | 11% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 53% |
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Medicine and Dentistry | 9 | 8% |
| Mathematics | 8 | 7% |
| Computer Science | 7 | 6% |
| Other | 9 | 8% |
| Unknown | 6 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 January 2011.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from Genome Biology
#3,853
of 4,467 outputs
Outputs of similar age
#72,490
of 85,761 outputs
Outputs of similar age from Genome Biology
#37
of 41 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% 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 85,761 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.