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Soil loss estimated by means of the RUSLE model in a subtropical climate watershed

Overview of attention for article published in Revista Brasileira de Ciência do Solo, November 2021
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1 tweeter

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1 Mendeley
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Title
Soil loss estimated by means of the RUSLE model in a subtropical climate watershed
Published in
Revista Brasileira de Ciência do Solo, November 2021
DOI 10.36783/18069657rbcs20210050
Authors

Mayara Zanchin, Maíra Martim de Moura, Maria Cândida Moitinho Nunes, Samuel Beskow, Pablo Miguel, Cláudia Liane Rodrigues de Lima, Danielle de Almeida Bressiani

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 December 2021.
All research outputs
#17,427,683
of 21,563,426 outputs
Outputs from Revista Brasileira de Ciência do Solo
#68
of 74 outputs
Outputs of similar age
#344,920
of 474,200 outputs
Outputs of similar age from Revista Brasileira de Ciência do Solo
#8
of 22 outputs
Altmetric has tracked 21,563,426 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 6th percentile – i.e., 6% 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 474,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.