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Large-scale analysis of transcriptional cis-regulatory modules reveals both common features and distinct subclasses

Overview of attention for article published in Genome Biology, June 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent
f1000
1 research highlight platform

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
9 CiteULike
connotea
4 Connotea
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Title
Large-scale analysis of transcriptional cis-regulatory modules reveals both common features and distinct subclasses
Published in
Genome Biology, June 2007
DOI 10.1186/gb-2007-8-6-r101
Pubmed ID
Authors

Long Li, Qianqian Zhu, Xin He, Saurabh Sinha, Marc S Halfon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Hungary 1 1%
Germany 1 1%
France 1 1%
New Zealand 1 1%
Spain 1 1%
United States 1 1%
Unknown 66 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Researcher 18 24%
Professor > Associate Professor 8 11%
Professor 6 8%
Student > Master 5 7%
Other 9 12%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 63%
Biochemistry, Genetics and Molecular Biology 12 16%
Computer Science 10 13%
Arts and Humanities 1 1%
Unknown 5 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 September 2021.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Genome Biology
#3,306
of 4,467 outputs
Outputs of similar age
#26,376
of 82,464 outputs
Outputs of similar age from Genome Biology
#24
of 46 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 82,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.