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A computational framework for boosting confidence in high-throughput protein-protein interaction datasets

Overview of attention for article published in Genome Biology, August 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
94 Mendeley
citeulike
7 CiteULike
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Title
A computational framework for boosting confidence in high-throughput protein-protein interaction datasets
Published in
Genome Biology, August 2012
DOI 10.1186/gb-2012-13-8-r76
Pubmed ID
Authors

Raghavendra Hosur, Jian Peng, Arunachalam Vinayagam, Ulrich Stelzl, Jinbo Xu, Norbert Perrimon, Jadwiga Bienkowska, Bonnie Berger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
France 1 1%
Switzerland 1 1%
United Kingdom 1 1%
Italy 1 1%
Unknown 87 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 31%
Researcher 21 22%
Student > Master 9 10%
Professor 5 5%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 41%
Biochemistry, Genetics and Molecular Biology 17 18%
Computer Science 14 15%
Medicine and Dentistry 7 7%
Engineering 3 3%
Other 4 4%
Unknown 10 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 29 July 2021.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#64,300
of 187,855 outputs
Outputs of similar age from Genome Biology
#44
of 57 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 187,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.