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iASeq: integrating multiple chip-seq datasets for detecting allele-specific binding

Overview of attention for article published in BMC Bioinformatics, December 2012
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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 (71st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
20 Mendeley
Title
iASeq: integrating multiple chip-seq datasets for detecting allele-specific binding
Published in
BMC Bioinformatics, December 2012
DOI 10.1186/1471-2105-13-s18-a6
Authors

Yingying Wei, Xia Li, Qianfei Wang, Hongkai Ji

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Professor 1 5%
Student > Ph. D. Student 1 5%
Professor > Associate Professor 1 5%
Unknown 17 85%
Readers by discipline Count As %
Mathematics 1 5%
Computer Science 1 5%
Social Sciences 1 5%
Unknown 17 85%
Attention Score in Context

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 27 December 2012.
All research outputs
#5,663,745
of 22,862,742 outputs
Outputs from BMC Bioinformatics
#2,090
of 7,295 outputs
Outputs of similar age
#58,492
of 279,427 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 138 outputs
Altmetric has tracked 22,862,742 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 7,295 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 279,427 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 138 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 71% of its contemporaries.