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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Role of Noncoding RNA Pseudouridylation in Nuclear Gene Expression Events
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, February 2018
|
| DOI | 10.3389/fbioe.2018.00008 |
| Pubmed ID | |
| Authors |
Yang Zhao, William Dunker, Yi-Tao Yu, John Karijolich |
| Abstract |
Pseudouridine is the most abundant internal RNA modification in stable noncoding RNAs (ncRNAs). It can be catalyzed by both RNA-dependent and RNA-independent mechanisms. Pseudouridylation impacts both the biochemical and biophysical properties of RNAs and thus influences RNA-mediated cellular processes. The investigation of nuclear-ncRNA pseudouridylation has demonstrated that it is critical for the proper control of multiple stages of gene expression regulation. Here, we review how nuclear-ncRNA pseudouridylation contributes to transcriptional regulation and pre-mRNA splicing. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 20% |
| Germany | 1 | 10% |
| Cabo Verde | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Researcher | 17 | 18% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 10 | 11% |
| Other | 7 | 7% |
| Other | 10 | 11% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 48 | 51% |
| Agricultural and Biological Sciences | 12 | 13% |
| Chemistry | 5 | 5% |
| Immunology and Microbiology | 1 | 1% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 25 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 February 2024.
All research outputs
#6,406,420
of 25,320,147 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#923
of 8,407 outputs
Outputs of similar age
#119,322
of 452,054 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#7
of 32 outputs
Altmetric has tracked 25,320,147 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,407 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 88% of its peers.
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 452,054 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.