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Computational analysis of the roles of ER-Golgi network in the cell cycle

Overview of attention for article published in BMC Systems Biology, December 2014
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Title
Computational analysis of the roles of ER-Golgi network in the cell cycle
Published in
BMC Systems Biology, December 2014
DOI 10.1186/1752-0509-8-s4-s3
Pubmed ID
Authors

Haijun Gong, Lu Feng

Abstract

ER-Golgi network plays an important role in the processing, sorting and transport of proteins, and it's also a site for many signaling pathways that regulate the cell cycle. Accumulating evidence suggests that, the stressed ER and malfunction of Golgi apparatus are associated with the pathogenesis of cancer and Alzheimer's disease (AD). Our previous work discovered and verified that altering the expression levels of target SNARE and GEF could modulate the size of Golgi apparatus. Moreover, Golgi's structure and size undergo dramatic changes during the development of several diseases. It is of importance to investigate the roles of ER-Golgi network in the cell cycle progression and some diseases.

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Master 3 18%
Professor > Associate Professor 2 12%
Student > Doctoral Student 2 12%
Student > Bachelor 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 24%
Agricultural and Biological Sciences 3 18%
Biochemistry, Genetics and Molecular Biology 2 12%
Computer Science 2 12%
Psychology 1 6%
Other 2 12%
Unknown 3 18%
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 December 2014.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from BMC Systems Biology
#1,009
of 1,142 outputs
Outputs of similar age
#302,198
of 360,807 outputs
Outputs of similar age from BMC Systems Biology
#44
of 53 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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We're also able to compare this research output to 53 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.