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A Daylength Recognition Model of Photoperiodic Flowering

Overview of attention for article published in Frontiers in Plant Science, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
36 Mendeley
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Title
A Daylength Recognition Model of Photoperiodic Flowering
Published in
Frontiers in Plant Science, November 2021
DOI 10.3389/fpls.2021.778515
Pubmed ID
Authors

Xiaoying Wang, Peng Zhou, Rongyu Huang, Jianfu Zhang, Xinhao Ouyang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 6 17%
Student > Bachelor 2 6%
Unspecified 2 6%
Professor 2 6%
Other 5 14%
Unknown 13 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 42%
Environmental Science 2 6%
Unspecified 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 14 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 December 2021.
All research outputs
#14,268,548
of 23,310,485 outputs
Outputs from Frontiers in Plant Science
#7,508
of 21,146 outputs
Outputs of similar age
#235,039
of 510,520 outputs
Outputs of similar age from Frontiers in Plant Science
#261
of 889 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,146 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 61% 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 510,520 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 889 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 68% of its contemporaries.