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Overview of attention for article published in BMC Bioinformatics, January 2006
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
patent
1 patent
f1000
1 research highlight platform

Citations

dimensions_citation
541 Dimensions

Readers on

mendeley
361 Mendeley
citeulike
18 CiteULike
connotea
2 Connotea
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Title
Published in
BMC Bioinformatics, January 2006
DOI 10.1186/1471-2105-7-113
Pubmed ID
Authors

Kenzie D MacIsaac, Ting Wang, D Benjamin Gordon, David K Gifford, Gary D Stormo, Ernest Fraenkel

Abstract

The regulatory map of a genome consists of the binding sites for proteins that determine the transcription of nearby genes. An initial regulatory map for S. cerevisiae was recently published using six motif discovery programs to analyze genome-wide chromatin immunoprecipitation data for 203 transcription factors. The programs were used to identify sequence motifs that were likely to correspond to the DNA-binding specificity of the immunoprecipitated proteins. We report improved versions of two conservation-based motif discovery algorithms, PhyloCon and Converge. Using these programs, we create a refined regulatory map for S. cerevisiae by reanalyzing the same chromatin immunoprecipitation data.

Mendeley readers

The data shown below were compiled from readership statistics for 361 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 4%
Germany 4 1%
Netherlands 3 <1%
Chile 3 <1%
Spain 3 <1%
United Kingdom 3 <1%
Japan 2 <1%
China 2 <1%
France 2 <1%
Other 8 2%
Unknown 315 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 119 33%
Researcher 96 27%
Student > Master 28 8%
Professor 24 7%
Student > Bachelor 22 6%
Other 56 16%
Unknown 16 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 217 60%
Biochemistry, Genetics and Molecular Biology 70 19%
Computer Science 19 5%
Engineering 9 2%
Chemistry 6 2%
Other 23 6%
Unknown 17 5%

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 04 July 2013.
All research outputs
#1,452,904
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#635
of 4,576 outputs
Outputs of similar age
#1,408,989
of 11,793,655 outputs
Outputs of similar age from BMC Bioinformatics
#635
of 4,581 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 86th 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 done well, scoring higher than 85% 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 11,793,655 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 86% of its contemporaries.
We're also able to compare this research output to 4,581 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.