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ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes

Overview of attention for article published in Genome Biology (Online Edition), January 2007
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
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Title
ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes
Published in
Genome Biology (Online Edition), January 2007
DOI 10.1186/gb-2007-8-5-r68
Pubmed ID
Authors

Brian R King, Chittibabu Guda

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
India 1 2%
Greece 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 50%
Researcher 6 14%
Student > Bachelor 6 14%
Professor > Associate Professor 3 7%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 43%
Biochemistry, Genetics and Molecular Biology 14 33%
Computer Science 4 10%
Chemical Engineering 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 4 10%

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 23 May 2018.
All research outputs
#3,821,446
of 12,979,316 outputs
Outputs from Genome Biology (Online Edition)
#2,130
of 2,920 outputs
Outputs of similar age
#102,818
of 271,225 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 12,979,316 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,920 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one is in the 17th percentile – i.e., 17% 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 271,225 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them