↓ Skip to main content

Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning

Overview of attention for article published in Plant Methods, February 2024
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Published in
Plant Methods, February 2024
DOI 10.1186/s13007-024-01153-y
Pubmed ID
Authors

Robert T. Furbank, Viridiana Silva-Perez, John R. Evans, Anthony G. Condon, Gonzalo M. Estavillo, Wennan He, Saul Newman, Richard Poiré, Ashley Hall, Zhen He

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.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 February 2024.
All research outputs
#14,778,831
of 25,364,603 outputs
Outputs from Plant Methods
#668
of 1,262 outputs
Outputs of similar age
#55,225
of 155,582 outputs
Outputs of similar age from Plant Methods
#15
of 28 outputs
Altmetric has tracked 25,364,603 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 155,582 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 60% of its contemporaries.
We're also able to compare this research output to 28 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 50% of its contemporaries.