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Mendeley readers
Attention Score in Context
| Title |
Is Thermosensing Property of RNA Thermometers Unique?
|
|---|---|
| Published in |
PLOS ONE, July 2010
|
| DOI | 10.1371/journal.pone.0011308 |
| Pubmed ID | |
| Authors |
Premal Shah, Michael A. Gilchrist |
| Abstract |
A large number of studies have been dedicated to identify the structural and sequence based features of RNA thermometers, mRNAs that regulate their translation initiation rate with temperature. It has been shown that the melting of the ribosome-binding site (RBS) plays a prominent role in this thermosensing process. However, little is known as to how widespread this melting phenomenon is as earlier studies on the subject have worked with a small sample of known RNA thermometers. We have developed a novel method of studying the melting of RNAs with temperature by computationally sampling the distribution of the RNA structures at various temperatures using the RNA folding software Vienna. In this study, we compared the thermosensing property of 100 randomly selected mRNAs and three well known thermometers--rpoH, ibpA and agsA sequences from E. coli. We also compared the rpoH sequences from 81 mesophilic proteobacteria. Although both rpoH and ibpA show a higher rate of melting at their RBS compared with the mean of non-thermometers, contrary to our expectations these higher rates are not significant. Surprisingly, we also do not find any significant differences between rpoH thermometers from other gamma-proteobacteria and E. coli non-thermometers. |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 3% |
| Iran, Islamic Republic of | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 55 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 5 | 8% |
| Other | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 44% |
| Biochemistry, Genetics and Molecular Biology | 15 | 25% |
| Chemistry | 4 | 7% |
| Immunology and Microbiology | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 6 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 October 2017.
All research outputs
#7,455,523
of 22,792,160 outputs
Outputs from PLOS ONE
#88,772
of 194,548 outputs
Outputs of similar age
#33,488
of 93,824 outputs
Outputs of similar age from PLOS ONE
#397
of 723 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 93,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.