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Mendeley readers
Attention Score in Context
| Title |
A verification protocol for the probe sequences of Affymetrix genome arrays reveals high probe accuracy for studies in mouse, human and rat
|
|---|---|
| Published in |
BMC Bioinformatics, April 2007
|
| DOI | 10.1186/1471-2105-8-132 |
| Pubmed ID | |
| Authors |
Rudi Alberts, Peter Terpstra, Menno Hardonk, Leonid V Bystrykh, Gerald de Haan, Rainer Breitling, Jan-Peter Nap, Ritsert C Jansen |
| Abstract |
The Affymetrix GeneChip technology uses multiple probes per gene to measure its expression level. Individual probe signals can vary widely, which hampers proper interpretation. This variation can be caused by probes that do not properly match their target gene or that match multiple genes. To determine the accuracy of Affymetrix arrays, we developed an extensive verification protocol, for mouse arrays incorporating the NCBI RefSeq, NCBI UniGene Unique, NIA Mouse Gene Index, and UCSC mouse genome databases. |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| Spain | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 33 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 38% |
| Other | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 9 | 24% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 51% |
| Computer Science | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Medicine and Dentistry | 3 | 8% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 3 | 8% |
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 26 February 2015.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#26,118
of 74,076 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 44 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 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 gotten more attention than average, scoring higher than 50% 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 74,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.