↓ Skip to main content

Prediction of protein-protein interaction types using association rule based classification

Overview of attention for article published in BMC Bioinformatics, January 2009
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
83 Mendeley
citeulike
6 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
Prediction of protein-protein interaction types using association rule based classification
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-36
Pubmed ID
Authors

Sung Hee Park, José A Reyes, David R Gilbert, Ji Woong Kim, Sangsoo Kim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 2 2%
United Kingdom 2 2%
Hungary 1 1%
Malaysia 1 1%
Korea, Republic of 1 1%
Tunisia 1 1%
Sudan 1 1%
Belgium 1 1%
Other 3 4%
Unknown 68 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 31%
Researcher 14 17%
Professor > Associate Professor 9 11%
Student > Master 9 11%
Professor 5 6%
Other 15 18%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 45%
Computer Science 15 18%
Biochemistry, Genetics and Molecular Biology 6 7%
Engineering 5 6%
Arts and Humanities 3 4%
Other 7 8%
Unknown 10 12%
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 06 October 2020.
All research outputs
#7,479,767
of 22,865,319 outputs
Outputs from BMC Bioinformatics
#3,027
of 7,295 outputs
Outputs of similar age
#49,815
of 171,421 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 59 outputs
Altmetric has tracked 22,865,319 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 7,295 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 171,421 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 59 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.