↓ Skip to main content

PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
2 CiteULike
connotea
1 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
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Published in
BMC Bioinformatics, March 2006
DOI 10.1186/1471-2105-7-s1-s3
Pubmed ID
Authors

Tomer Hertz, Chen Yanover

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
Chile 1 2%
Indonesia 1 2%
Denmark 1 2%
Ireland 1 2%
Unknown 38 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 36%
Researcher 13 29%
Lecturer 2 4%
Student > Bachelor 2 4%
Other 2 4%
Other 6 13%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 38%
Biochemistry, Genetics and Molecular Biology 7 16%
Computer Science 5 11%
Medicine and Dentistry 3 7%
Immunology and Microbiology 3 7%
Other 5 11%
Unknown 5 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 01 August 2013.
All research outputs
#7,490,851
of 22,896,955 outputs
Outputs from BMC Bioinformatics
#3,031
of 7,300 outputs
Outputs of similar age
#23,458
of 66,801 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 56 outputs
Altmetric has tracked 22,896,955 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 7,300 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 66,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.