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The genetic control of leaf and petal allometric variations in Arabidopsis thaliana

Overview of attention for article published in BMC Plant Biology, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
2 X users

Citations

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3 Dimensions

Readers on

mendeley
13 Mendeley
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Title
The genetic control of leaf and petal allometric variations in Arabidopsis thaliana
Published in
BMC Plant Biology, December 2020
DOI 10.1186/s12870-020-02758-w
Pubmed ID
Authors

Xin Li, Yaohua Zhang, Suxin Yang, Chunxia Wu, Qun Shao, Xianzhong Feng

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Bachelor 3 23%
Student > Master 1 8%
Unknown 4 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 54%
Linguistics 1 8%
Computer Science 1 8%
Earth and Planetary Sciences 1 8%
Unknown 3 23%
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 25 December 2020.
All research outputs
#14,527,988
of 23,267,128 outputs
Outputs from BMC Plant Biology
#1,167
of 3,310 outputs
Outputs of similar age
#271,195
of 508,622 outputs
Outputs of similar age from BMC Plant Biology
#19
of 88 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,310 research outputs from this source. They receive a mean Attention Score of 3.0. 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 508,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 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 72% of its contemporaries.