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Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images

Overview of attention for article published in Plant Methods, February 2015
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
158 Mendeley
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Title
Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images
Published in
Plant Methods, February 2015
DOI 10.1186/s13007-015-0047-9
Pubmed ID
Authors

Wei Guo, Tokihiro Fukatsu, Seishi Ninomiya

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Malaysia 1 <1%
Belgium 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 152 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 22%
Student > Ph. D. Student 25 16%
Student > Master 19 12%
Student > Bachelor 12 8%
Student > Doctoral Student 6 4%
Other 22 14%
Unknown 39 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 35%
Engineering 17 11%
Computer Science 15 9%
Environmental Science 7 4%
Biochemistry, Genetics and Molecular Biology 5 3%
Other 9 6%
Unknown 49 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 March 2015.
All research outputs
#3,253,384
of 22,685,926 outputs
Outputs from Plant Methods
#172
of 1,072 outputs
Outputs of similar age
#51,188
of 358,206 outputs
Outputs of similar age from Plant Methods
#7
of 23 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 84% 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 358,206 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 85% of its contemporaries.
We're also able to compare this research output to 23 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 73% of its contemporaries.