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Extensive characterization of NF-κB binding uncovers non-canonical motifs and advances the interpretation of genetic functional traits

Overview of attention for article published in Genome Biology, July 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
203 Mendeley
citeulike
2 CiteULike
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Title
Extensive characterization of NF-κB binding uncovers non-canonical motifs and advances the interpretation of genetic functional traits
Published in
Genome Biology, July 2011
DOI 10.1186/gb-2011-12-7-r70
Pubmed ID
Authors

Daniel Wong, Ana Teixeira, Spyros Oikonomopoulos, Peter Humburg, Imtiaz Nisar Lone, David Saliba, Trevor Siggers, Martha Bulyk, Dimitar Angelov, Stefan Dimitrov, Irina A Udalova, Jiannis Ragoussis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
Germany 1 <1%
Romania 1 <1%
Colombia 1 <1%
Unknown 195 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 29%
Researcher 49 24%
Student > Master 20 10%
Student > Bachelor 11 5%
Student > Doctoral Student 9 4%
Other 30 15%
Unknown 25 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 33%
Biochemistry, Genetics and Molecular Biology 59 29%
Medicine and Dentistry 14 7%
Immunology and Microbiology 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 22 11%
Unknown 26 13%
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 15 March 2022.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from Genome Biology
#3,444
of 4,513 outputs
Outputs of similar age
#44,794
of 134,227 outputs
Outputs of similar age from Genome Biology
#28
of 41 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 22nd percentile – i.e., 22% 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 134,227 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 64% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.