You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Establishing a major cause of discrepancy in the calibration of Affymetrix GeneChips
|
|---|---|
| Published in |
BMC Bioinformatics, June 2007
|
| DOI | 10.1186/1471-2105-8-195 |
| Pubmed ID | |
| Authors |
Andrew P Harrison, Caroline E Johnston, Christine A Orengo |
| Abstract |
Affymetrix GeneChips are a popular platform for performing whole-genome experiments on the transcriptome. There are a range of different calibration steps, and users are presented with choices of different background subtractions, normalisations and expression measures. We wished to establish which of the calibration steps resulted in the biggest uncertainty in the sets of genes reported to be differentially expressed. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 17% |
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 22 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 30% |
| Student > Ph. D. Student | 7 | 23% |
| Professor > Associate Professor | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Other | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 53% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Computer Science | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Engineering | 2 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 June 2012.
All research outputs
#2,899,324
of 22,671,366 outputs
Outputs from BMC Bioinformatics
#1,020
of 7,247 outputs
Outputs of similar age
#6,925
of 70,232 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 45 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 85% 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 70,232 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.