| Title |
Interpretation of multiple probe sets mapping to the same gene in Affymetrix GeneChips
|
|---|---|
| Published in |
BMC Bioinformatics, January 2007
|
| DOI | 10.1186/1471-2105-8-13 |
| Pubmed ID | |
| Authors |
Maria A Stalteri, Andrew P Harrison |
| Abstract |
Affymetrix GeneChip technology enables the parallel observations of tens of thousands of genes. It is important that the probe set annotations are reliable so that biological inferences can be made about genes which undergo differential expression. Probe sets representing the same gene might be expected to show similar fold changes/z-scores, however this is in fact not the case. |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 3 | 2% |
| Germany | 2 | 2% |
| Belgium | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 113 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 29% |
| Researcher | 34 | 27% |
| Student > Master | 18 | 15% |
| Other | 6 | 5% |
| Student > Bachelor | 6 | 5% |
| Other | 16 | 13% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 47% |
| Biochemistry, Genetics and Molecular Biology | 18 | 15% |
| Computer Science | 13 | 10% |
| Medicine and Dentistry | 11 | 9% |
| Engineering | 6 | 5% |
| Other | 9 | 7% |
| Unknown | 9 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 09 February 2021.
All research outputs
#2,020,738
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#526
of 7,234 outputs
Outputs of similar age
#7,924
of 172,884 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 48 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 92% 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 172,884 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 95% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.