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PreDisorder: ab initio sequence-based prediction of protein disordered regions

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 (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
50 Mendeley
citeulike
2 CiteULike
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Title
PreDisorder: ab initio sequence-based prediction of protein disordered regions
Published in
BMC Bioinformatics, December 2009
DOI 10.1186/1471-2105-10-436
Pubmed ID
Authors

Xin Deng, Jesse Eickholt, Jianlin Cheng

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Canada 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 30%
Researcher 9 18%
Student > Master 6 12%
Professor 5 10%
Student > Doctoral Student 4 8%
Other 9 18%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 46%
Biochemistry, Genetics and Molecular Biology 7 14%
Computer Science 7 14%
Chemistry 4 8%
Physics and Astronomy 3 6%
Other 3 6%
Unknown 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 December 2009.
All research outputs
#2,745,277
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,155
of 4,576 outputs
Outputs of similar age
#65,930
of 278,196 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 9 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 74% 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 278,196 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 76% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.