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The emerging genomics and systems biology research lead to systems genomics studies

Overview of attention for article published in BMC Genomics, December 2014
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Mentioned by

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2 X users

Citations

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40 Dimensions

Readers on

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19 Mendeley
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Title
The emerging genomics and systems biology research lead to systems genomics studies
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s11-i1
Pubmed ID
Authors

Mary Qu Yang, Kenji Yoshigoe, William Yang, Weida Tong, Xiang Qin, A Keith Dunker, Zhongxue Chen, Hamid R Arbania, Jun S Liu, Andrzej Niemierko, Jack Y Yang

Abstract

Synergistically integrating multi-layer genomic data at systems level not only can lead to deeper insights into the molecular mechanisms related to disease initiation and progression, but also can guide pathway-based biomarker and drug target identification. With the advent of high-throughput next-generation sequencing technologies, sequencing both DNA and RNA has generated multi-layer genomic data that can provide DNA polymorphism, non-coding RNA, messenger RNA, gene expression, isoform and alternative splicing information. Systems biology on the other hand studies complex biological systems, particularly systematic study of complex molecular interactions within specific cells or organisms. Genomics and molecular systems biology can be merged into the study of genomic profiles and implicated biological functions at cellular or organism level. The prospectively emerging field can be referred to as systems genomics or genomic systems biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 37%
Student > Ph. D. Student 3 16%
Other 2 11%
Professor 1 5%
Student > Master 1 5%
Other 3 16%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Biochemistry, Genetics and Molecular Biology 2 11%
Business, Management and Accounting 2 11%
Psychology 2 11%
Medicine and Dentistry 2 11%
Other 3 16%
Unknown 4 21%
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 19 January 2015.
All research outputs
#16,446,399
of 24,220,739 outputs
Outputs from BMC Genomics
#6,945
of 10,923 outputs
Outputs of similar age
#218,387
of 362,976 outputs
Outputs of similar age from BMC Genomics
#152
of 237 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,923 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 362,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.