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Suitable Fertilizer Application Depth Enhances the Efficient Utilization of Key Resources and Improves Crop Productivity in Rainfed Farmland on the Loess Plateau, China

Overview of attention for article published in Frontiers in Plant Science, June 2022
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

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7 Mendeley
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Title
Suitable Fertilizer Application Depth Enhances the Efficient Utilization of Key Resources and Improves Crop Productivity in Rainfed Farmland on the Loess Plateau, China
Published in
Frontiers in Plant Science, June 2022
DOI 10.3389/fpls.2022.900352
Pubmed ID
Authors

Guangzhou Chen, Tie Cai, Junying Wang, Yuhao Wang, Liangqi Ren, Peng Wu, Peng Zhang, Zhikuan Jia

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 14%
Researcher 1 14%
Unknown 5 71%
Readers by discipline Count As %
Computer Science 1 14%
Agricultural and Biological Sciences 1 14%
Materials Science 1 14%
Unknown 4 57%
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 06 June 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Frontiers in Plant Science
#17,019
of 21,146 outputs
Outputs of similar age
#358,649
of 444,690 outputs
Outputs of similar age from Frontiers in Plant Science
#948
of 1,333 outputs
Altmetric has tracked 23,312,088 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 21,146 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 444,690 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 1,333 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.