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An integrative approach for measuring semantic similarities using gene ontology

Overview of attention for article published in BMC Systems Biology, December 2014
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Citations

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Title
An integrative approach for measuring semantic similarities using gene ontology
Published in
BMC Systems Biology, December 2014
DOI 10.1186/1752-0509-8-s5-s8
Pubmed ID
Authors

Jiajie Peng, Hongxiang Li, Qinghua Jiang, Yadong Wang, Jin Chen

Abstract

Gene Ontology (GO) provides rich information and a convenient way to study gene functional similarity, which has been successfully used in various applications. However, the existing GO based similarity measurements have limited functions for only a subset of GO information is considered in each measure. An appropriate integration of the existing measures to take into account more information in GO is demanding.

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

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Mexico 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 3 15%
Student > Bachelor 2 10%
Student > Master 2 10%
Librarian 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Computer Science 8 40%
Agricultural and Biological Sciences 2 10%
Medicine and Dentistry 2 10%
Chemistry 1 5%
Engineering 1 5%
Other 0 0%
Unknown 6 30%
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 07 January 2015.
All research outputs
#20,248,338
of 22,776,824 outputs
Outputs from BMC Systems Biology
#1,009
of 1,142 outputs
Outputs of similar age
#298,898
of 356,570 outputs
Outputs of similar age from BMC Systems Biology
#41
of 50 outputs
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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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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