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The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: summary and innovation in genomics

Overview of attention for article published in BMC Genomics, October 2017
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Title
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: summary and innovation in genomics
Published in
BMC Genomics, October 2017
DOI 10.1186/s12864-017-4018-6
Pubmed ID
Authors

Zhongming Zhao, Zhandong Liu, Ken Chen, Yan Guo, Genevera I. Allen, Jiajie Zhang, W. Jim Zheng, Jianhua Ruan

Abstract

In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8-10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. ICIBM 2016 included four workshops or tutorials, four keynote lectures, four conference invited talks, eight concurrent scientific sessions and a poster session for 53 accepted abstracts, covering current topics in bioinformatics, systems biology, intelligent computing, and biomedical informatics. Through our call for papers, a total of 77 original manuscripts were submitted to ICIBM 2016. After peer review, 11 articles were selected in this special issue, covering topics such as single cell RNA-seq analysis method, genome sequence and variation analysis, bioinformatics method for vaccine development, and cancer genomics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Student > Bachelor 3 12%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Professor > Associate Professor 2 8%
Other 6 24%
Unknown 7 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 12%
Computer Science 3 12%
Agricultural and Biological Sciences 3 12%
Engineering 2 8%
Social Sciences 2 8%
Other 5 20%
Unknown 7 28%