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A web-based protein interaction network visualizer

Overview of attention for article published in BMC Bioinformatics, May 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
9 tweeters
patent
2 patents

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
66 Mendeley
citeulike
6 CiteULike
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Title
A web-based protein interaction network visualizer
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-129
Pubmed ID
Authors

Gustavo A Salazar, Ayton Meintjes, Gaston K Mazandu, Holifidy A Rapanoël, Richard O Akinola, Nicola J Mulder

Abstract

Interaction between proteins is one of the most important mechanisms in the execution of cellular functions. The study of these interactions has provided insight into the functioning of an organism's processes. As of October 2013, Homo sapiens had over 170000 Protein-Protein interactions (PPI) registered in the Interologous Interaction Database, which is only one of the many public resources where protein interactions can be accessed. These numbers exemplify the volume of data that research on the topic has generated. Visualization of large data sets is a well known strategy to make sense of information, and protein interaction data is no exception. There are several tools that allow the exploration of this data, providing different methods to visualize protein network interactions. However, there is still no native web tool that allows this data to be explored interactively online.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
Germany 2 3%
Australia 1 2%
Netherlands 1 2%
Canada 1 2%
Argentina 1 2%
Nigeria 1 2%
Japan 1 2%
United States 1 2%
Other 0 0%
Unknown 54 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 26%
Student > Master 14 21%
Student > Ph. D. Student 13 20%
Student > Bachelor 9 14%
Student > Doctoral Student 3 5%
Other 8 12%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 42%
Biochemistry, Genetics and Molecular Biology 15 23%
Computer Science 14 21%
Arts and Humanities 3 5%
Nursing and Health Professions 1 2%
Other 3 5%
Unknown 2 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 May 2019.
All research outputs
#3,840,845
of 21,353,399 outputs
Outputs from BMC Bioinformatics
#1,548
of 6,933 outputs
Outputs of similar age
#37,848
of 204,859 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 18 outputs
Altmetric has tracked 21,353,399 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,933 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 done well, scoring higher than 77% 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 204,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.