↓ Skip to main content

A machine learning strategy to identify candidate binding sites in human protein-coding sequence

Overview of attention for article published in BMC Bioinformatics, September 2006
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
12 Mendeley
citeulike
3 CiteULike
connotea
2 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A machine learning strategy to identify candidate binding sites in human protein-coding sequence
Published in
BMC Bioinformatics, September 2006
DOI 10.1186/1471-2105-7-419
Pubmed ID
Authors

Thomas Down, Bernard Leong, Tim JP Hubbard

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Germany 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 3 25%
Professor > Associate Professor 2 17%
Student > Master 1 8%
Student > Bachelor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 58%
Biochemistry, Genetics and Molecular Biology 1 8%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 November 2015.
All research outputs
#7,762,532
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#3,171
of 4,576 outputs
Outputs of similar age
#142,424
of 269,281 outputs
Outputs of similar age from BMC Bioinformatics
#306
of 417 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 269,281 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 417 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.