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Structural basis for gibberellin recognition by its receptor GID1

Overview of attention for article published in Nature, November 2008
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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

twitter
1 X user
patent
3 patents
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
295 Dimensions

Readers on

mendeley
295 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Structural basis for gibberellin recognition by its receptor GID1
Published in
Nature, November 2008
DOI 10.1038/nature07546
Pubmed ID
Authors

Asako Shimada, Miyako Ueguchi-Tanaka, Toru Nakatsu, Masatoshi Nakajima, Youichi Naoe, Hiroko Ohmiya, Hiroaki Kato, Makoto Matsuoka

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 1%
Spain 2 <1%
France 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Germany 1 <1%
Argentina 1 <1%
United States 1 <1%
Unknown 284 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 22%
Researcher 60 20%
Student > Master 29 10%
Student > Bachelor 26 9%
Professor > Associate Professor 19 6%
Other 56 19%
Unknown 39 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 167 57%
Biochemistry, Genetics and Molecular Biology 52 18%
Chemistry 8 3%
Environmental Science 5 2%
Business, Management and Accounting 2 <1%
Other 12 4%
Unknown 49 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 February 2023.
All research outputs
#4,238,845
of 24,827,122 outputs
Outputs from Nature
#55,650
of 95,978 outputs
Outputs of similar age
#15,848
of 99,524 outputs
Outputs of similar age from Nature
#290
of 579 outputs
Altmetric has tracked 24,827,122 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 95,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 99,524 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 579 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.