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Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm

Overview of attention for article published in Frontiers in Nutrition, September 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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3 X users

Citations

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14 Dimensions

Readers on

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15 Mendeley
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Title
Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm
Published in
Frontiers in Nutrition, September 2022
DOI 10.3389/fnut.2022.1001551
Pubmed ID
Authors

Siddhant Ranjan Padhi, Racheal John, Arti Bartwal, Kuldeep Tripathi, Kavita Gupta, Dhammaprakash Pandhari Wankhede, Gyan Prakash Mishra, Sanjeev Kumar, Jai Chand Rana, Amritbir Riar, Rakesh Bhardwaj

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 27%
Researcher 2 13%
Professor 1 7%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Unspecified 4 27%
Agricultural and Biological Sciences 3 20%
Nursing and Health Professions 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 6 40%
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 31 October 2022.
All research outputs
#15,293,119
of 24,716,872 outputs
Outputs from Frontiers in Nutrition
#2,515
of 6,260 outputs
Outputs of similar age
#202,505
of 427,230 outputs
Outputs of similar age from Frontiers in Nutrition
#220
of 647 outputs
Altmetric has tracked 24,716,872 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 6,260 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 57% 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 427,230 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 50% of its contemporaries.
We're also able to compare this research output to 647 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 63% of its contemporaries.