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3′-End Sequencing for Expression Quantification (3SEQ) from Archival Tumor Samples

Overview of attention for article published in PLOS ONE, 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
patent
1 patent

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
151 Mendeley
citeulike
5 CiteULike
connotea
1 Connotea
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Title
3′-End Sequencing for Expression Quantification (3SEQ) from Archival Tumor Samples
Published in
PLOS ONE, January 2010
DOI 10.1371/journal.pone.0008768
Pubmed ID
Authors

Andrew H. Beck, Ziming Weng, Daniela M. Witten, Shirley Zhu, Joseph W. Foley, Phil Lacroute, Cheryl L. Smith, Robert Tibshirani, Matt van de Rijn, Arend Sidow, Robert B. West

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Norway 2 1%
Italy 1 <1%
Austria 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Russia 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 135 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 30%
Student > Ph. D. Student 39 26%
Student > Master 15 10%
Professor > Associate Professor 10 7%
Student > Bachelor 8 5%
Other 22 15%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 52%
Biochemistry, Genetics and Molecular Biology 33 22%
Medicine and Dentistry 13 9%
Chemical Engineering 2 1%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Other 8 5%
Unknown 15 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 August 2021.
All research outputs
#1,880,191
of 22,852,911 outputs
Outputs from PLOS ONE
#24,187
of 194,930 outputs
Outputs of similar age
#9,327
of 164,273 outputs
Outputs of similar age from PLOS ONE
#102
of 612 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 87% 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 164,273 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 94% of its contemporaries.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.