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Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated database of phosphorylation sites

Overview of attention for article published in BMC Bioinformatics, May 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated database of phosphorylation sites
Published in
BMC Bioinformatics, May 2008
DOI 10.1186/1471-2105-9-245
Pubmed ID
Authors

Neil FW Saunders, Ross I Brinkworth, Thomas Huber, Bruce E Kemp, Bostjan Kobe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Brazil 1 2%
Argentina 1 2%
Spain 1 2%
United States 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 13 27%
Professor 5 10%
Other 3 6%
Lecturer 2 4%
Other 6 12%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 6 12%
Computer Science 3 6%
Mathematics 1 2%
Other 4 8%
Unknown 7 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 June 2008.
All research outputs
#3,364,233
of 23,292,144 outputs
Outputs from BMC Bioinformatics
#1,241
of 7,377 outputs
Outputs of similar age
#10,092
of 84,060 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 49 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 84,060 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 85% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.