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Distinct polyadenylation landscapes of diverse human tissues revealed by a modified PA-seq strategy

Overview of attention for article published in BMC Genomics, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
2 CiteULike
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Title
Distinct polyadenylation landscapes of diverse human tissues revealed by a modified PA-seq strategy
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-615
Pubmed ID
Authors

Ting Ni, Yanqin Yang, Dina Hafez, Wenjing Yang, Kurtis Kiesewetter, Yoshi Wakabayashi, Uwe Ohler, Weiqun Peng, Jun Zhu

Abstract

Polyadenylation is a key regulatory step in eukaryotic gene expression and one of the major contributors of transcriptome diversity. Aberrant polyadenylation often associates with expression defects and leads to human diseases.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Italy 1 1%
Canada 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 33%
Researcher 12 17%
Student > Master 12 17%
Professor > Associate Professor 6 9%
Student > Postgraduate 4 6%
Other 8 11%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 50%
Biochemistry, Genetics and Molecular Biology 17 24%
Computer Science 6 9%
Physics and Astronomy 2 3%
Engineering 2 3%
Other 2 3%
Unknown 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 October 2013.
All research outputs
#1,553,285
of 7,360,756 outputs
Outputs from BMC Genomics
#1,343
of 5,417 outputs
Outputs of similar age
#28,517
of 130,653 outputs
Outputs of similar age from BMC Genomics
#36
of 176 outputs
Altmetric has tracked 7,360,756 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,417 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 74% 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 130,653 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 78% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.