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Assessing restoration and degradation of natural and artificial vegetation in the arid zone of Northwest China

Overview of attention for article published in Frontiers in Ecology and Evolution, March 2023
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1 X user

Citations

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Title
Assessing restoration and degradation of natural and artificial vegetation in the arid zone of Northwest China
Published in
Frontiers in Ecology and Evolution, March 2023
DOI 10.3389/fevo.2023.1131210
Authors

Jinxia Zhang, Zhi Li, Weili Duan, Hongfang Zhao, Haichao Hao, Yanyun Xiang, Qifei Zhang

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 %
Lecturer > Senior Lecturer 1 100%
Readers by discipline Count As %
Environmental Science 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 12 March 2023.
All research outputs
#20,889,670
of 23,515,785 outputs
Outputs from Frontiers in Ecology and Evolution
#3,719
of 4,435 outputs
Outputs of similar age
#273,438
of 347,533 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#181
of 280 outputs
Altmetric has tracked 23,515,785 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 4,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. 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 347,533 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 280 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.