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Mendeley readers
Attention Score in Context
| Title |
Regulation of lncRNA expression
|
|---|---|
| Published in |
Cellular & Molecular Biology Letters, October 2014
|
| DOI | 10.2478/s11658-014-0212-6 |
| Pubmed ID | |
| Authors |
Zhuomin Wu, Xiaoxia Liu, Li Liu, Houliang Deng, Jingjing Zhang, Qian Xu, Bohong Cen, Aimin Ji |
| Abstract |
Long non-coding RNAs (lncRNAs) are series of transcripts with important biological functions. Various diseases have been associated with aberrant expression of lncRNAs and the related dysregulation of mRNAs. In this review, we highlight the mechanisms of dynamic lncRNA expression. The chromatin state contributes to the low and specific expression of lncRNAs. The transcription of non-coding RNA genes is regulated by many core transcription factors applied to protein-coding genes. However, specific DNA sequences may allow their unsynchronized transcription with their location-associated mRNAs. Additionally, there are multiple mechanisms involved in the post-transcriptional regulation of lncRNAs. Among these, microRNAs might have indispensible regulatory effects on lncRNAs, based on recent discoveries. |
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 % |
|---|---|---|
| Unknown | 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 19% |
| Student > Master | 29 | 19% |
| Researcher | 22 | 14% |
| Student > Bachelor | 17 | 11% |
| Student > Doctoral Student | 7 | 5% |
| Other | 17 | 11% |
| Unknown | 33 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 35% |
| Agricultural and Biological Sciences | 28 | 18% |
| Medicine and Dentistry | 11 | 7% |
| Neuroscience | 4 | 3% |
| Immunology and Microbiology | 3 | 2% |
| Other | 16 | 10% |
| Unknown | 38 | 25% |
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 15 October 2014.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Cellular & Molecular Biology Letters
#463
of 606 outputs
Outputs of similar age
#228,943
of 268,063 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#4
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 606 research outputs from this source. They receive a mean Attention Score of 2.8. 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 5 others from the same source and published within six weeks on either side of this one.