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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, May 2007
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
45 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, May 2007
DOI 10.1186/gb-2007-8-5-r68
Pubmed ID
Authors

Brian R King, Chittibabu Guda

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Greece 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 49%
Researcher 7 16%
Student > Bachelor 6 13%
Professor > Associate Professor 4 9%
Student > Postgraduate 2 4%
Other 2 4%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 40%
Biochemistry, Genetics and Molecular Biology 14 31%
Computer Science 5 11%
Chemical Engineering 1 2%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 4 9%
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 23 May 2018.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#30,540
of 86,599 outputs
Outputs of similar age from Genome Biology
#26
of 42 outputs
Altmetric has tracked 25,371,288 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 4,467 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 86,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.