You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Modification interference analysis of the ribosome.
|
|---|---|
| Chapter number | 8 |
| Book title |
RNA-RNA Interactions
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-1896-6_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1895-9, 978-1-4939-1896-6
|
| Authors |
Simpson Joseph |
| Abstract |
RNAs are versatile molecules involved in myriad functions in the cell. To understand how a RNA molecule functions in the cell it is important to identify the nucleotides in the RNA molecule that are important for its structure and function. There are several biochemical methods such as footprinting, cross-linking, and modification interference analysis that can be used to study RNA-RNA and RNA-protein interactions. Ribosome is a classical example of a RNA-protein complex that has been extensively studied using these methods. Here, we describe a modification interference method that was used to identify bases in 16S rRNA that are important for the translocation of the mRNA-tRNA complex by the ribosome. |
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 % |
|---|---|---|
| United States | 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 50% |
| Professor > Associate Professor | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 75% |
| Biochemistry, Genetics and Molecular Biology | 1 | 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 30 October 2014.
All research outputs
#15,308,698
of 22,768,097 outputs
Outputs from Methods in molecular biology
#5,319
of 13,090 outputs
Outputs of similar age
#208,770
of 352,897 outputs
Outputs of similar age from Methods in molecular biology
#343
of 996 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 352,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 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 57% of its contemporaries.