↓ Skip to main content

Novel semantic similarity measure improves an integrative approach to predicting gene functional associations

Overview of attention for article published in BMC Systems Biology, March 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Novel semantic similarity measure improves an integrative approach to predicting gene functional associations
Published in
BMC Systems Biology, March 2013
DOI 10.1186/1752-0509-7-22
Pubmed ID
Authors

Fatemeh Vafaee, Daniela Rosu, Fiona Broackes-Carter, Igor Jurisica

Abstract

Elucidation of the direct/indirect protein interactions and gene associations is required to fully understand the workings of the cell. This can be achieved through the use of both low- and high-throughput biological experiments and in silico methods. We present GAP (Gene functional Association Predictor), an integrative method for predicting and characterizing gene functional associations. GAP integrates different biological features using a novel taxonomy-based semantic similarity measure in predicting and prioritizing high-quality putative gene associations. The proposed similarity measure increases information gain from the available gene annotations. The annotation information is incorporated from several public pathway databases, Gene Ontology annotations as well as drug and disease associations from the scientific literature.

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

Geographical breakdown

Country Count As %
Portugal 1 2%
Germany 1 2%
France 1 2%
Canada 1 2%
United States 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Master 8 16%
Student > Ph. D. Student 8 16%
Professor 6 12%
Other 5 10%
Other 6 12%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 39%
Biochemistry, Genetics and Molecular Biology 9 18%
Computer Science 6 12%
Medicine and Dentistry 4 8%
Social Sciences 3 6%
Other 6 12%
Unknown 2 4%
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 01 May 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#149,044
of 196,097 outputs
Outputs of similar age from BMC Systems Biology
#11
of 17 outputs
Altmetric has tracked 22,708,120 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. 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 196,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.