↓ Skip to main content

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

Overview of attention for article published in BMC Bioinformatics, December 2008
Altmetric Badge

Mentioned by

patent
1 patent

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
4 CiteULike
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
Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
Published in
BMC Bioinformatics, December 2008
DOI 10.1186/1471-2105-9-s12-s6
Pubmed ID
Authors

Cheng-Wei Cheng, Emily Chia-Yu Su, Jenn-Kang Hwang, Ting-Yi Sung, Wen-Lian Hsu

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 %
Germany 1 1%
France 1 1%
Australia 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 31%
Researcher 18 24%
Student > Master 11 15%
Student > Bachelor 3 4%
Professor > Associate Professor 3 4%
Other 8 11%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 36%
Computer Science 12 16%
Biochemistry, Genetics and Molecular Biology 8 11%
Engineering 6 8%
Chemical Engineering 3 4%
Other 11 15%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 April 2023.
All research outputs
#7,730,464
of 23,510,717 outputs
Outputs from BMC Bioinformatics
#3,082
of 7,404 outputs
Outputs of similar age
#48,344
of 167,889 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 52 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,404 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 167,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.