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Diversity and distribution patterns of soil macroarthropod communities in the Nianchu River Basin, Tibet, China

Overview of attention for article published in Frontiers in Ecology and Evolution, January 2024
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1 X user

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3 Mendeley
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Title
Diversity and distribution patterns of soil macroarthropod communities in the Nianchu River Basin, Tibet, China
Published in
Frontiers in Ecology and Evolution, January 2024
DOI 10.3389/fevo.2024.1297609
Authors

Zhuang-Zhuang Wang, Peng Zhang, Kai He, Shi-Ying Zhu, Bu Pu

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Unknown 1 33%
Readers by discipline Count As %
Design 2 67%
Unknown 1 33%
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 25 January 2024.
All research outputs
#22,622,714
of 25,235,161 outputs
Outputs from Frontiers in Ecology and Evolution
#4,106
of 5,185 outputs
Outputs of similar age
#123,231
of 153,421 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#34
of 85 outputs
Altmetric has tracked 25,235,161 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 5,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 153,421 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 85 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.