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Meta-QTL and haplo-pheno analysis reveal superior haplotype combinations associated with low grain chalkiness under high temperature in rice

Overview of attention for article published in Frontiers in Plant Science, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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6 X users

Citations

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6 Dimensions

Readers on

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14 Mendeley
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Title
Meta-QTL and haplo-pheno analysis reveal superior haplotype combinations associated with low grain chalkiness under high temperature in rice
Published in
Frontiers in Plant Science, March 2023
DOI 10.3389/fpls.2023.1133115
Pubmed ID
Authors

Anita Kumari, Divya Sharma, Priya Sharma, Chaoxin Wang, Vibha Verma, Arun Patil, Md Imran, Madan Pal Singh, Kuldeep Kumar, Kumar Paritosh, Doina Caragea, Sanjay Kapoor, Girish Chandel, Anil Grover, S. V. Krishna Jagadish, Surekha Katiyar-Agarwal, Manu Agarwal

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 21%
Professor 2 14%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Unspecified 3 21%
Agricultural and Biological Sciences 3 21%
Environmental Science 1 7%
Philosophy 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 March 2023.
All research outputs
#6,461,801
of 23,505,669 outputs
Outputs from Frontiers in Plant Science
#3,586
of 21,517 outputs
Outputs of similar age
#90,027
of 340,480 outputs
Outputs of similar age from Frontiers in Plant Science
#76
of 1,081 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 21,517 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 340,480 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 73% of its contemporaries.
We're also able to compare this research output to 1,081 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.