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The Human Mitochondrial Transcriptome

Overview of attention for article published in Cell, August 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
4 blogs
twitter
13 X users
patent
3 patents
wikipedia
6 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
703 Dimensions

Readers on

mendeley
974 Mendeley
citeulike
6 CiteULike
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Title
The Human Mitochondrial Transcriptome
Published in
Cell, August 2011
DOI 10.1016/j.cell.2011.06.051
Pubmed ID
Authors

Tim R. Mercer, Shane Neph, Marcel E. Dinger, Joanna Crawford, Martin A. Smith, Anne-Marie J. Shearwood, Eric Haugen, Cameron P. Bracken, Oliver Rackham, John A. Stamatoyannopoulos, Aleksandra Filipovska, John S. Mattick

Abstract

The human mitochondrial genome comprises a distinct genetic system transcribed as precursor polycistronic transcripts that are subsequently cleaved to generate individual mRNAs, tRNAs, and rRNAs. Here, we provide a comprehensive analysis of the human mitochondrial transcriptome across multiple cell lines and tissues. Using directional deep sequencing and parallel analysis of RNA ends, we demonstrate wide variation in mitochondrial transcript abundance and precisely resolve transcript processing and maturation events. We identify previously undescribed transcripts, including small RNAs, and observe the enrichment of several nuclear RNAs in mitochondria. Using high-throughput in vivo DNaseI footprinting, we establish the global profile of DNA-binding protein occupancy across the mitochondrial genome at single-nucleotide resolution, revealing regulatory features at mitochondrial transcription initiation sites and functional insights into disease-associated variants. This integrated analysis of the mitochondrial transcriptome reveals unexpected complexity in the regulation, expression, and processing of mitochondrial RNA and provides a resource for future studies of mitochondrial function (accessed at http://mitochondria.matticklab.com).

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 974 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 1%
United Kingdom 8 <1%
France 5 <1%
Germany 4 <1%
Netherlands 2 <1%
Korea, Republic of 2 <1%
India 2 <1%
Japan 2 <1%
Australia 2 <1%
Other 17 2%
Unknown 917 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 241 25%
Researcher 233 24%
Student > Master 91 9%
Student > Bachelor 73 7%
Professor > Associate Professor 49 5%
Other 172 18%
Unknown 115 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 397 41%
Biochemistry, Genetics and Molecular Biology 277 28%
Medicine and Dentistry 43 4%
Neuroscience 29 3%
Computer Science 13 1%
Other 69 7%
Unknown 146 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 02 May 2023.
All research outputs
#1,008,194
of 25,708,267 outputs
Outputs from Cell
#3,829
of 17,262 outputs
Outputs of similar age
#3,954
of 131,058 outputs
Outputs of similar age from Cell
#19
of 122 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.5. This one has done well, scoring higher than 77% 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 131,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.