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Central clock components modulate plant shade avoidance by directly repressing transcriptional activation activity of PIF proteins

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2020
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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)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Central clock components modulate plant shade avoidance by directly repressing transcriptional activation activity of PIF proteins
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2020
DOI 10.1073/pnas.1918317117
Pubmed ID
Authors

Yu Zhang, Anne Pfeiffer, James M. Tepperman, Jutta Dalton-Roesler, Pablo Leivar, Eduardo Gonzalez Grandio, Peter H. Quail

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Ph. D. Student 13 18%
Student > Master 7 9%
Student > Doctoral Student 5 7%
Student > Bachelor 5 7%
Other 7 9%
Unknown 19 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 47%
Biochemistry, Genetics and Molecular Biology 16 22%
Neuroscience 2 3%
Environmental Science 1 1%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 23 October 2022.
All research outputs
#1,628,953
of 24,698,625 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#21,527
of 101,647 outputs
Outputs of similar age
#39,447
of 462,315 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#420
of 960 outputs
Altmetric has tracked 24,698,625 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,647 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 78% 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 462,315 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 960 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.