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A Hidden Markov Model method, capable of predicting and discriminating β-barrel outer membrane proteins

Overview of attention for article published in BMC Bioinformatics, March 2004
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
154 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
1 CiteULike
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Title
A Hidden Markov Model method, capable of predicting and discriminating β-barrel outer membrane proteins
Published in
BMC Bioinformatics, March 2004
DOI 10.1186/1471-2105-5-29
Pubmed ID
Authors

Pantelis G Bagos, Theodore D Liakopoulos, Ioannis C Spyropoulos, Stavros J Hamodrakas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 1 1%
Greece 1 1%
Sweden 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 37%
Researcher 12 17%
Professor > Associate Professor 8 11%
Student > Bachelor 5 7%
Professor 5 7%
Other 8 11%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 50%
Biochemistry, Genetics and Molecular Biology 7 10%
Computer Science 6 9%
Engineering 4 6%
Chemistry 3 4%
Other 7 10%
Unknown 8 11%
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 31 December 2017.
All research outputs
#8,475,076
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#3,213
of 7,672 outputs
Outputs of similar age
#22,101
of 62,871 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 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 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 62,871 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 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