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SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques

Overview of attention for article published in Frontiers in Plant Science, August 2022
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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 (68th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
16 Mendeley
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Title
SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques
Published in
Frontiers in Plant Science, August 2022
DOI 10.3389/fpls.2022.889853
Pubmed ID
Authors

Arpan K. Maji, Sudeep Marwaha, Sudhir Kumar, Alka Arora, Viswanathan Chinnusamy, Shahnawazul Islam

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Master 2 13%
Lecturer 1 6%
Professor > Associate Professor 1 6%
Unknown 10 63%
Readers by discipline Count As %
Computer Science 3 19%
Engineering 1 6%
Unknown 12 75%
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 10 August 2022.
All research outputs
#15,006,570
of 23,856,830 outputs
Outputs from Frontiers in Plant Science
#8,916
of 22,136 outputs
Outputs of similar age
#205,591
of 419,176 outputs
Outputs of similar age from Frontiers in Plant Science
#349
of 1,306 outputs
Altmetric has tracked 23,856,830 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 22,136 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 54% 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 419,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,306 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.