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Systems biology of myasthenia gravis, integration of aberrant lncRNA and mRNA expression changes

Overview of attention for article published in BMC Medical Genomics, March 2015
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Mentioned by

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5 tweeters

Citations

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16 Dimensions

Readers on

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43 Mendeley
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Title
Systems biology of myasthenia gravis, integration of aberrant lncRNA and mRNA expression changes
Published in
BMC Medical Genomics, March 2015
DOI 10.1186/s12920-015-0087-z
Pubmed ID
Authors

ZhaoHui Luo, Ye Li, XiaoFang Liu, MengChuan Luo, LiQun Xu, YueBei Luo, Bo Xiao, Huan Yang

Abstract

A novel class of transcripts, long non-coding RNAs (lncRNAs), has recently emerged as a key player in several biological processes, and important roles for these molecules have been reported in a number of complex human diseases, such as autoimmune diseases, neurological disorders, and various cancers. However, the aberrant lncRNAs implicated in myasthenia gravis (MG) remain unknown. The aim of the present study was to explore the abnormal expression of lncRNAs in peripheral blood mononuclear cells (PBMCs) and examine mRNA regulatory relationship networks among MG patients with or without thymoma.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 33%
Student > Ph. D. Student 7 16%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 3 7%
Other 6 14%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 12 28%
Biochemistry, Genetics and Molecular Biology 9 21%
Agricultural and Biological Sciences 6 14%
Neuroscience 5 12%
Immunology and Microbiology 2 5%
Other 3 7%
Unknown 6 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 January 2016.
All research outputs
#10,681,298
of 17,138,809 outputs
Outputs from BMC Medical Genomics
#487
of 900 outputs
Outputs of similar age
#119,474
of 227,632 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 1 outputs
Altmetric has tracked 17,138,809 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 900 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 40th percentile – i.e., 40% 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 227,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them