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QTL-seq analysis identified the genomic regions of plant height and days to heading in high-latitude rice

Overview of attention for article published in Frontiers in Genetics, February 2024
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Title
QTL-seq analysis identified the genomic regions of plant height and days to heading in high-latitude rice
Published in
Frontiers in Genetics, February 2024
DOI 10.3389/fgene.2024.1305681
Pubmed ID
Authors

Rongsheng Wang, Kun Li, Wei Zhang, Hui Liu, Yongqing Tao, Yuming Liu, Guohua Ding, Guang Yang, Yuanhang Zhou, Jiayou Wang, Licheng Wu, Baohai Liu, Fengchen Mu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
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 14 February 2024.
All research outputs
#22,747,159
of 25,371,292 outputs
Outputs from Frontiers in Genetics
#9,588
of 13,641 outputs
Outputs of similar age
#139,277
of 171,143 outputs
Outputs of similar age from Frontiers in Genetics
#71
of 157 outputs
Altmetric has tracked 25,371,292 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 13,641 research outputs from this source. They receive a mean Attention Score of 3.8. 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 171,143 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 157 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.