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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
51 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 51 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 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 29%
Researcher 10 20%
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 45%
Computer Science 8 16%
Biochemistry, Genetics and Molecular Biology 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
#5,655,382
of 22,849,304 outputs
Outputs from BMC Bioinformatics
#2,082
of 7,292 outputs
Outputs of similar age
#36,487
of 164,356 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 59 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,292 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 gotten more attention than average, scoring higher than 71% 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 164,356 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 77% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.