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Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application

Overview of attention for article published in Genome Biology, August 2001
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
3 patents

Citations

dimensions_citation
820 Dimensions

Readers on

mendeley
331 Mendeley
citeulike
8 CiteULike
connotea
1 Connotea
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Title
Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application
Published in
Genome Biology, August 2001
DOI 10.1186/gb-2001-2-8-research0032
Pubmed ID
Authors

Cheng Li, Wing Hung Wong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 5%
United Kingdom 7 2%
Germany 3 <1%
Portugal 3 <1%
Spain 3 <1%
Australia 2 <1%
Canada 1 <1%
Mexico 1 <1%
Argentina 1 <1%
Other 5 2%
Unknown 290 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 109 33%
Student > Ph. D. Student 78 24%
Professor > Associate Professor 36 11%
Professor 28 8%
Student > Master 21 6%
Other 35 11%
Unknown 24 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 50%
Biochemistry, Genetics and Molecular Biology 30 9%
Computer Science 28 8%
Medicine and Dentistry 24 7%
Engineering 15 5%
Other 44 13%
Unknown 24 7%
Attention Score in Context

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 30 June 2020.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from Genome Biology
#3,489
of 4,468 outputs
Outputs of similar age
#13,867
of 40,376 outputs
Outputs of similar age from Genome Biology
#7
of 23 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,468 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 14th percentile – i.e., 14% 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 40,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.