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A database analysis method identifies an endogenous trans-acting short-interfering RNA that targets the Arabidopsis ARF2, ARF3, and ARF4 genes

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, June 2005
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

patent
6 patents
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Readers on

mendeley
224 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Article details
Title
A database analysis method identifies an endogenous trans-acting short-interfering RNA that targets the Arabidopsis ARF2, ARF3, and ARF4 genes
Published in
Proceedings of the National Academy of Sciences of the United States of America, June 2005
DOI 10.1073/pnas.0504029102
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 3 1%
United Kingdom 2 <1%
South Africa 1 <1%
United States 1 <1%
Slovenia 1 <1%
Sweden 1 <1%
Paraguay 1 <1%
Portugal 1 <1%
Norway 1 <1%
Other 6 3%
Unknown 206 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 67 30%
Student > Ph. D. Student 53 24%
Student > Master 18 8%
Professor > Associate Professor 18 8%
Professor 13 6%
Other 29 13%
Unknown 26 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 144 64%
Biochemistry, Genetics and Molecular Biology 36 16%
Computer Science 5 2%
Medicine and Dentistry 2 <1%
Unspecified 1 <1%
Other 2 <1%
Unknown 34 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 July 2017.
All research outputs
#3,512,900
of 34,454,098 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#36,990
of 119,070 outputs
Outputs of similar age
#7,974
of 97,180 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#120
of 600 outputs
Altmetric has tracked 34,454,098 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,070 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has gotten more attention than average, scoring higher than 68% 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 97,180 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 91% of its contemporaries.
We're also able to compare this research output to 600 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.