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Modeling carbon uptake by vegetation of grassland ecosystems and its associated factors in China based on remote sensing

Overview of attention for article published in Frontiers in Earth Science, January 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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4 Mendeley
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Title
Modeling carbon uptake by vegetation of grassland ecosystems and its associated factors in China based on remote sensing
Published in
Frontiers in Earth Science, January 2023
DOI 10.3389/feart.2022.1077885
Authors

Xuejie Li, Ruren Li, Zongyao Sha

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 25%
Unknown 3 75%
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 26 February 2023.
All research outputs
#20,826,372
of 23,437,201 outputs
Outputs from Frontiers in Earth Science
#3,210
of 4,985 outputs
Outputs of similar age
#328,484
of 416,781 outputs
Outputs of similar age from Frontiers in Earth Science
#224
of 518 outputs
Altmetric has tracked 23,437,201 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 4,985 research outputs from this source. They receive a mean Attention Score of 4.7. 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 416,781 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 518 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.