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The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: putting systems biology to work

Overview of attention for article published in BMC Systems Biology, October 2017
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Title
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: putting systems biology to work
Published in
BMC Systems Biology, October 2017
DOI 10.1186/s12918-017-0461-x
Pubmed ID
Authors

W. Jim Zheng, Jianhua Ruan, Hua Xu, Zhongming Zhao, Zhangdong Liu

Abstract

Between December 8-10, 2016, the International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held in Houston, Texas, USA. The conference included eight scientific sessions, four tutorials, one poster session, four highlighted talks and four keynotes that covered topics in 3D genome structure analysis and visualization, next generation sequencing analysis, computational drug discovery, medical informatics, cancer genomics and systems biology. Systems biology has been a main theme in ICIBM 2016, with exciting advances were presented in many areas of systems biology. Here, we selected seven high quality papers to be published in BMC Systems Biology.

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Other 2 25%
Librarian 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Social Sciences 2 25%
Agricultural and Biological Sciences 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Computer Science 1 13%
Medicine and Dentistry 1 13%
Other 0 0%
Unknown 2 25%
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 29 May 2018.
All research outputs
#18,630,234
of 23,079,238 outputs
Outputs from BMC Systems Biology
#836
of 1,144 outputs
Outputs of similar age
#247,505
of 323,201 outputs
Outputs of similar age from BMC Systems Biology
#11
of 18 outputs
Altmetric has tracked 23,079,238 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 1,144 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 323,201 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 18 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.