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Mendeley readers
Attention Score in Context
Title |
Consistent annotation of gene expression arrays
|
---|---|
Published in |
BMC Genomics, May 2010
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DOI | 10.1186/1471-2164-11-294 |
Pubmed ID | |
Authors |
Benoît Ballester, Nathan Johnson, Glenn Proctor, Paul Flicek |
Abstract |
Gene expression arrays are valuable and widely used tools for biomedical research. Today's commercial arrays attempt to measure the expression level of all of the genes in the genome. Effectively translating the results from the microarray into a biological interpretation requires an accurate mapping between the probesets on the array and the genes that they are targeting. Although major array manufacturers provide annotations of their gene expression arrays, the methods used by various manufacturers are different and the annotations are difficult to keep up to date in the rapidly changing world of biological sequence databases. |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 6% |
United States | 3 | 4% |
France | 2 | 3% |
Norway | 1 | 1% |
Australia | 1 | 1% |
Germany | 1 | 1% |
Sweden | 1 | 1% |
Finland | 1 | 1% |
Canada | 1 | 1% |
Other | 5 | 6% |
Unknown | 57 | 73% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 28 | 36% |
Student > Ph. D. Student | 19 | 24% |
Student > Master | 10 | 13% |
Professor > Associate Professor | 6 | 8% |
Student > Bachelor | 4 | 5% |
Other | 8 | 10% |
Unknown | 3 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 52 | 67% |
Computer Science | 10 | 13% |
Medicine and Dentistry | 5 | 6% |
Psychology | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Other | 3 | 4% |
Unknown | 3 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 May 2010.
All research outputs
#4,655,198
of 22,705,019 outputs
Outputs from BMC Genomics
#1,980
of 10,624 outputs
Outputs of similar age
#19,837
of 94,943 outputs
Outputs of similar age from BMC Genomics
#4
of 46 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 94,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.