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NatalieQ: A web server for protein-protein interaction network querying

Overview of attention for article published in BMC Systems Biology, January 2014
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
27 Mendeley
citeulike
1 CiteULike
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Title
NatalieQ: A web server for protein-protein interaction network querying
Published in
BMC Systems Biology, January 2014
DOI 10.1186/1752-0509-8-40
Pubmed ID
Authors

Mohammed El-Kebir, Bernd W Brandt, Jaap Heringa, Gunnar W Klau

Abstract

Molecular interactions need to be taken into account to adequately model the complex behavior of biological systems. These interactions are captured by various types of biological networks, such as metabolic, gene-regulatory, signal transduction and protein-protein interaction networks. We recently developed Natalie, which computes high-quality network alignments via advanced methods from combinatorial optimization.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 7%
United States 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Professor 6 22%
Researcher 6 22%
Student > Ph. D. Student 6 22%
Professor > Associate Professor 2 7%
Student > Bachelor 2 7%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 4 15%
Computer Science 4 15%
Nursing and Health Professions 2 7%
Medicine and Dentistry 2 7%
Other 1 4%
Unknown 3 11%

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 03 April 2014.
All research outputs
#17,268,579
of 21,362,911 outputs
Outputs from BMC Systems Biology
#828
of 1,139 outputs
Outputs of similar age
#149,762
of 208,012 outputs
Outputs of similar age from BMC Systems Biology
#10
of 14 outputs
Altmetric has tracked 21,362,911 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 1,139 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 11th percentile – i.e., 11% 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 208,012 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 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.