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Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptake

Overview of attention for article published in Genome Biology (Online Edition), January 2007
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About this Attention Score

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

Mentioned by

twitter
1 tweeter
patent
3 patents

Citations

dimensions_citation
344 Dimensions

Readers on

mendeley
243 Mendeley
citeulike
3 CiteULike
connotea
2 Connotea
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Title
Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptake
Published in
Genome Biology (Online Edition), January 2007
DOI 10.1186/gb-2007-8-2-r22
Pubmed ID
Authors

Carleton L Kingsford, Kunmi Ayanbule, Steven L Salzberg

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 3 1%
Argentina 3 1%
India 3 1%
Spain 2 <1%
France 2 <1%
Mexico 1 <1%
South Africa 1 <1%
Denmark 1 <1%
Other 3 1%
Unknown 220 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 29%
Student > Ph. D. Student 60 25%
Student > Master 32 13%
Student > Bachelor 25 10%
Professor 9 4%
Other 30 12%
Unknown 17 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 53%
Biochemistry, Genetics and Molecular Biology 57 23%
Computer Science 10 4%
Engineering 5 2%
Immunology and Microbiology 5 2%
Other 16 7%
Unknown 20 8%

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 09 February 2017.
All research outputs
#3,163,446
of 12,486,858 outputs
Outputs from Genome Biology (Online Edition)
#1,918
of 2,835 outputs
Outputs of similar age
#59,629
of 224,264 outputs
Outputs of similar age from Genome Biology (Online Edition)
#15
of 18 outputs
Altmetric has tracked 12,486,858 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one is in the 31st percentile – i.e., 31% 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 224,264 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 72% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.