↓ Skip to main content

The Mitoribosome

Overview of attention for book
Attention for Chapter: Digital RNase Footprinting of RNA-Protein Complexes and Ribosomes in Mitochondria.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users
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.
Chapter title
Digital RNase Footprinting of RNA-Protein Complexes and Ribosomes in Mitochondria.
Book title
The Mitoribosome
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3171-3_18
Pubmed ID
Book ISBNs
978-1-07-163170-6, 978-1-07-163171-3
Authors

Rudler, Danielle L, Siira, Stefan J, Rackham, Oliver, Filipovska, Aleksandra, Rudler, Danielle L., Siira, Stefan J., Danielle L. Rudler, Stefan J. Siira, Oliver Rackham, Aleksandra Filipovska

Abstract

RNA-binding proteins and mitochondrial ribosomes have been found to be linchpins of mitochondrial gene expression in health and disease. The expanding repertoire of proteins that bind and regulate the mitochondrial transcriptome has necessitated the development of new tools and methods to examine their molecular functions. Next-generation sequencing technologies have advanced the RNA biology field through application of high-throughput methods to study RNA-protein interactions. Here we describe a digital RNase footprinting method to analyze protein and ribosome interactions with mitochondrially encoded transcripts that provides insight into their mechanisms and minimal binding sites. We provide details on RNase digestion and next-generation sequencing, along with computational analyses and visualization of the binding targets within the mitochondrial transcriptome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

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 13 May 2023.
All research outputs
#15,464,151
of 23,752,589 outputs
Outputs from Methods in molecular biology
#4,918
of 13,394 outputs
Outputs of similar age
#220,543
of 445,266 outputs
Outputs of similar age from Methods in molecular biology
#165
of 558 outputs
Altmetric has tracked 23,752,589 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,394 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 58% 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 445,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 558 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.