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Comparative Analysis of Maintenance Models in Forest Machines

Overview of attention for article published in Floresta e Ambiente, January 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Comparative Analysis of Maintenance Models in Forest Machines
Published in
Floresta e Ambiente, January 2020
DOI 10.1590/2179-8087.099417
Authors

Carlos Cézar Cavassin Diniz, Eduardo Silva Lopes, Henrique Soares Koehler, Gabriel Magalhães Miranda, José Paccola

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Unknown 7 88%
Readers by discipline Count As %
Business, Management and Accounting 1 13%
Unknown 7 88%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 November 2020.
All research outputs
#8,540,769
of 25,387,668 outputs
Outputs from Floresta e Ambiente
#7
of 49 outputs
Outputs of similar age
#175,899
of 473,401 outputs
Outputs of similar age from Floresta e Ambiente
#3
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 49 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 42 of them.
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 473,401 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.