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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
RNA-Protein Complexes and Interactions
|
|---|---|
| Chapter number | 11 |
| Book title |
RNA-Protein Complexes and Interactions
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3591-8_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3589-5, 978-1-4939-3591-8
|
| Authors |
Kudla, Marek, Karginov, Fedor V, Marek Kudla, Fedor V. Karginov, Karginov, Fedor V. |
| Abstract |
Determination of mRNA translation rates is essential to understanding the regulatory pathways governing eukaryotic gene expression. In this chapter, we present a transcriptome-wide method to assess translation by association of mRNAs with polysomes on sucrose density gradients. After sedimentation, the fractions are spiked with a control RNA mixture and the RNA content is measured by high-throughput sequencing. Normalization to the spike-ins provides a global quantitative view on the translational status of cellular mRNAs, with the ability to measure changes and identify active and silent subpopulations of each. |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Professor | 2 | 13% |
| Other | 2 | 13% |
| Student > Master | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 38% |
| Agricultural and Biological Sciences | 3 | 19% |
| Neuroscience | 1 | 6% |
| Unknown | 6 | 38% |
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 12 March 2016.
All research outputs
#15,364,458
of 22,856,968 outputs
Outputs from Methods in molecular biology
#5,349
of 13,128 outputs
Outputs of similar age
#230,906
of 393,628 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
Altmetric has tracked 22,856,968 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 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 393,628 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.