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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Assaying RNA Structure Inside Living Cells with SHAPE
|
|---|---|
| Chapter number | 18 |
| Book title |
mRNA Processing
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7204-3_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7203-6, 978-1-4939-7204-3
|
| Authors |
Chao Feng, Dalen Chan, Robert C. Spitale |
| Abstract |
RNA molecules have emerged as key players in nearly every facet of gene regulation. Such functions are governed by RNA's unique ability to fold into intricate secondary and tertiary structures. In order to understand, on the molecular level, how such structures from several chemical and enzymatic methods have been developed. One such method is RNA Selective Hydroxyl Acylation analyzed by Primer Extension, or SHAPE. SHAPE has emerged as a premier method of measuring RNA structure, with recent developments extending SHAPE into living cells. Here, we describe the use of SHAPE for measuring RNA structure inside living cells. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 33% |
| Student > Doctoral Student | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Other | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 50% |
| Computer Science | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Chemistry | 1 | 17% |
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 05 August 2017.
All research outputs
#14,360,215
of 22,996,001 outputs
Outputs from Methods in molecular biology
#4,219
of 13,151 outputs
Outputs of similar age
#230,319
of 421,191 outputs
Outputs of similar age from Methods in molecular biology
#367
of 1,074 outputs
Altmetric has tracked 22,996,001 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 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 421,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.