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RNA polymerase mapping during stress responses reveals widespread nonproductive transcription in yeast

Overview of attention for article published in Genome Biology (Online Edition), January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
RNA polymerase mapping during stress responses reveals widespread nonproductive transcription in yeast
Published in
Genome Biology (Online Edition), January 2010
DOI 10.1186/gb-2010-11-7-r75
Pubmed ID
Authors

Tae Soo Kim, Chih Long Liu, Moran Yassour, John Holik, Nir Friedman, Stephen Buratowski, Oliver J Rando

Abstract

The use of genome-wide RNA abundance profiling by microarrays and deep sequencing has spurred a revolution in our understanding of transcriptional control. However, changes in mRNA abundance reflect the combined effect of changes in RNA production, processing, and degradation, and thus, mRNA levels provide an occluded view of transcriptional regulation.

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Chile 1 <1%
France 1 <1%
Lithuania 1 <1%
Germany 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Korea, Republic of 1 <1%
Other 3 3%
Unknown 90 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 38%
Researcher 33 31%
Professor > Associate Professor 10 10%
Professor 5 5%
Student > Bachelor 4 4%
Other 10 10%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 70%
Biochemistry, Genetics and Molecular Biology 23 22%
Computer Science 3 3%
Social Sciences 2 2%
Physics and Astronomy 1 <1%
Other 1 <1%
Unknown 2 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 July 2010.
All research outputs
#503,673
of 3,685,988 outputs
Outputs from Genome Biology (Online Edition)
#703
of 1,567 outputs
Outputs of similar age
#14,003
of 85,553 outputs
Outputs of similar age from Genome Biology (Online Edition)
#33
of 52 outputs
Altmetric has tracked 3,685,988 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 53% 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 85,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.