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A comprehensive assessment of N-terminal signal peptides prediction methods

Overview of attention for article published in BMC Bioinformatics, December 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
1 tweeter
patent
2 patents

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
86 Mendeley
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Title
A comprehensive assessment of N-terminal signal peptides prediction methods
Published in
BMC Bioinformatics, December 2009
DOI 10.1186/1471-2105-10-s15-s2
Pubmed ID
Authors

Khar Heng Choo, Tin Wee Tan, Shoba Ranganathan

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 5%
Germany 1 1%
France 1 1%
South Africa 1 1%
New Zealand 1 1%
Greece 1 1%
Unknown 77 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 24%
Researcher 17 20%
Student > Master 16 19%
Student > Bachelor 9 10%
Student > Postgraduate 5 6%
Other 12 14%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 45%
Biochemistry, Genetics and Molecular Biology 20 23%
Computer Science 6 7%
Engineering 3 3%
Chemistry 2 2%
Other 7 8%
Unknown 9 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 April 2016.
All research outputs
#2,683,284
of 15,554,462 outputs
Outputs from BMC Bioinformatics
#1,161
of 5,673 outputs
Outputs of similar age
#64,867
of 346,558 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 8 outputs
Altmetric has tracked 15,554,462 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,673 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 346,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.