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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Role of Long Non-coding RNAs in the Pathogenesis of RA, SLE, and SS
|
|---|---|
| Published in |
Frontiers in Medicine, July 2018
|
| DOI | 10.3389/fmed.2018.00193 |
| Pubmed ID | |
| Authors |
Yunzhen Gao, Shasha Li, Zhongjian Zhang, Xinhua Yu, Junfeng Zheng |
| Abstract |
Rheumatoid diseases are a group of systemic autoimmune diseases which affect multiple organs with largely unknown etiology. In the past decade, long non-coding RNAs (lncRNAs) have emerged as important regulators of biological processes and contribute deeply to immune cell development and immune responses. Substantial evidences have been accumulated showing that LncRNAs involved in the pathogenesis of the rheumatoid diseases, including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE) and Sjögren's syndrome (SS). In this review, we summarize literature combined with bioinformatics methods to analyze the unique and common lncRNAs patterns in rheumatoid diseases and try to reveal the important function of lncRNAs in RA, SLE and SS. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Student > Bachelor | 8 | 16% |
| Researcher | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 43% |
| Immunology and Microbiology | 5 | 10% |
| Medicine and Dentistry | 5 | 10% |
| Agricultural and Biological Sciences | 3 | 6% |
| Chemistry | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 10 | 20% |
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 04 July 2018.
All research outputs
#18,641,800
of 23,094,276 outputs
Outputs from Frontiers in Medicine
#4,063
of 5,849 outputs
Outputs of similar age
#253,189
of 327,912 outputs
Outputs of similar age from Frontiers in Medicine
#66
of 84 outputs
Altmetric has tracked 23,094,276 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 5,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 84 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.