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X Demographics
Mendeley readers
Attention Score in Context
Title |
Functional characterization and allelic mining of OsGLR genes for potential uses in rice improvement
|
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Published in |
Frontiers in Plant Science, August 2023
|
DOI | 10.3389/fpls.2023.1236251 |
Pubmed ID | |
Authors |
Wei Zeng, Hua Li, Fanlin Zhang, Xinchen Wang, Shamsur Rehman, Shiji Huang, Chenyang Zhang, Fengcai Wu, Jianfeng Li, Yamei Lv, Chaopu Zhang, Min Li, Zhikang Li, Yingyao Shi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 50% |
Student > Doctoral Student | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 100% |
Medicine and Dentistry | 1 | 50% |
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 11 August 2023.
All research outputs
#21,727,635
of 24,247,965 outputs
Outputs from Frontiers in Plant Science
#18,307
of 22,709 outputs
Outputs of similar age
#140,056
of 171,598 outputs
Outputs of similar age from Frontiers in Plant Science
#249
of 425 outputs
Altmetric has tracked 24,247,965 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 22,709 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 171,598 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 425 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.