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A meta-QTL analysis highlights genomic hotspots associated with phosphorus use efficiency in rice (Oryza sativa L.)

Overview of attention for article published in Frontiers in Plant Science, August 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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5 Mendeley
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Title
A meta-QTL analysis highlights genomic hotspots associated with phosphorus use efficiency in rice (Oryza sativa L.)
Published in
Frontiers in Plant Science, August 2023
DOI 10.3389/fpls.2023.1226297
Pubmed ID
Authors

Ian Paul Navea, Phyu Phyu Maung, Shiyi Yang, Jae-Hyuk Han, Wen Jing, Na-Hyun Shin, Wenhua Zhang, Joong Hyoun Chin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Unknown 3 60%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 40%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 August 2023.
All research outputs
#21,762,187
of 24,286,850 outputs
Outputs from Frontiers in Plant Science
#18,363
of 22,797 outputs
Outputs of similar age
#124,952
of 154,905 outputs
Outputs of similar age from Frontiers in Plant Science
#250
of 448 outputs
Altmetric has tracked 24,286,850 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,797 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 154,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.