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Triangle network motifs predict complexes by complementing high-error interactomes with structural information

Overview of attention for article published in BMC Bioinformatics, June 2009
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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24 Mendeley
citeulike
2 CiteULike
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2 Connotea
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Title
Triangle network motifs predict complexes by complementing high-error interactomes with structural information
Published in
BMC Bioinformatics, June 2009
DOI 10.1186/1471-2105-10-196
Pubmed ID
Authors

Bill Andreopoulos, Christof Winter, Dirk Labudde, Michael Schroeder

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 8%
United Kingdom 1 4%
Canada 1 4%
Netherlands 1 4%
Unknown 19 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Professor 5 21%
Researcher 4 17%
Student > Bachelor 3 13%
Student > Master 2 8%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Computer Science 7 29%
Engineering 3 13%
Medicine and Dentistry 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 0 0%
Unknown 3 13%
Attention Score in Context

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 11 September 2020.
All research outputs
#18,745,728
of 23,237,082 outputs
Outputs from BMC Bioinformatics
#6,395
of 7,359 outputs
Outputs of similar age
#102,962
of 111,767 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 35 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,359 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 111,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.