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Mining housekeeping genes with a Naive Bayes classifier

Overview of attention for article published in BMC Genomics, October 2006
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1 X user

Citations

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56 Dimensions

Readers on

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88 Mendeley
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4 CiteULike
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Title
Mining housekeeping genes with a Naive Bayes classifier
Published in
BMC Genomics, October 2006
DOI 10.1186/1471-2164-7-277
Pubmed ID
Authors

Luna De Ferrari, Stuart Aitken

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 2 2%
Switzerland 1 1%
Austria 1 1%
Finland 1 1%
Canada 1 1%
Italy 1 1%
Belgium 1 1%
Mexico 1 1%
Other 2 2%
Unknown 75 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Master 15 17%
Student > Ph. D. Student 14 16%
Student > Bachelor 7 8%
Professor 7 8%
Other 20 23%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 42%
Computer Science 18 20%
Biochemistry, Genetics and Molecular Biology 10 11%
Medicine and Dentistry 4 5%
Engineering 4 5%
Other 7 8%
Unknown 8 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 May 2016.
All research outputs
#15,359,595
of 22,849,304 outputs
Outputs from BMC Genomics
#6,694
of 10,656 outputs
Outputs of similar age
#60,263
of 68,720 outputs
Outputs of similar age from BMC Genomics
#26
of 32 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,656 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 68,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.