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The interactome: Predicting the protein-protein interactions in cells

Overview of attention for article published in Cellular & Molecular Biology Letters, October 2008
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
1 X user
wikipedia
7 Wikipedia pages

Citations

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37 Dimensions

Readers on

mendeley
103 Mendeley
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3 CiteULike
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Title
The interactome: Predicting the protein-protein interactions in cells
Published in
Cellular & Molecular Biology Letters, October 2008
DOI 10.2478/s11658-008-0024-7
Pubmed ID
Authors

Dariusz Plewczyński, Krzysztof Ginalski

Abstract

The term Interactome describes the set of all molecular interactions in cells, especially in the context of protein-protein interactions. These interactions are crucial for most cellular processes, so the full representation of the interaction repertoire is needed to understand the cell molecular machinery at the system biology level. In this short review, we compare various methods for predicting protein-protein interactions using sequence and structure information. The ultimate goal of those approaches is to present the complete methodology for the automatic selection of interaction partners using their amino acid sequences and/or three dimensional structures, if known. Apart from a description of each method, details of the software or web interface needed for high throughput prediction on the whole genome scale are also provided. The proposed validation of the theoretical methods using experimental data would be a better assessment of their accuracy.

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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Colombia 2 2%
Germany 2 2%
Brazil 2 2%
United Kingdom 2 2%
Norway 1 <1%
South Africa 1 <1%
Portugal 1 <1%
India 1 <1%
Other 2 2%
Unknown 86 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 16 16%
Student > Bachelor 14 14%
Student > Master 13 13%
Professor 6 6%
Other 14 14%
Unknown 17 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 39%
Biochemistry, Genetics and Molecular Biology 22 21%
Computer Science 6 6%
Chemistry 4 4%
Engineering 3 3%
Other 10 10%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 December 2018.
All research outputs
#7,960,512
of 25,374,647 outputs
Outputs from Cellular & Molecular Biology Letters
#54
of 606 outputs
Outputs of similar age
#35,136
of 102,142 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#1
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 606 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 90% 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 102,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them