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Image-Based High-Throughput Detection and Phenotype Evaluation Method for Multiple Lettuce Varieties

Overview of attention for article published in Frontiers in Plant Science, October 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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26 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Image-Based High-Throughput Detection and Phenotype Evaluation Method for Multiple Lettuce Varieties
Published in
Frontiers in Plant Science, October 2020
DOI 10.3389/fpls.2020.563386
Pubmed ID
Authors

Jianjun Du, Xianju Lu, Jiangchuan Fan, Yajuan Qin, Xiaozeng Yang, Xinyu Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Bachelor 7 12%
Researcher 5 9%
Student > Ph. D. Student 5 9%
Student > Postgraduate 2 4%
Other 2 4%
Unknown 24 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 28%
Computer Science 6 11%
Engineering 6 11%
Decision Sciences 1 2%
Unknown 28 49%
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 08 November 2020.
All research outputs
#15,593,916
of 25,163,238 outputs
Outputs from Frontiers in Plant Science
#8,466
of 24,162 outputs
Outputs of similar age
#229,428
of 422,164 outputs
Outputs of similar age from Frontiers in Plant Science
#209
of 438 outputs
Altmetric has tracked 25,163,238 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 24,162 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 422,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 438 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.