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A model of integration among prediction tools: applied study to road freight transportation

Overview of attention for article published in Revista de Administração (São Paulo)
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
37 Mendeley
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Title
A model of integration among prediction tools: applied study to road freight transportation
Published in
Revista de Administração (São Paulo)
DOI 10.1016/j.rausp.2016.09.005

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 27%
Student > Doctoral Student 7 19%
Researcher 3 8%
Student > Ph. D. Student 3 8%
Student > Bachelor 2 5%
Other 4 11%
Unknown 8 22%
Readers by discipline Count As %
Engineering 10 27%
Business, Management and Accounting 9 24%
Computer Science 4 11%
Economics, Econometrics and Finance 2 5%
Environmental Science 1 3%
Other 4 11%
Unknown 7 19%

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 2016.
All research outputs
#4,716,090
of 8,734,076 outputs
Outputs from Revista de Administração (São Paulo)
#6
of 23 outputs
Outputs of similar age
#163,641
of 299,034 outputs
Outputs of similar age from Revista de Administração (São Paulo)
#1
of 1 outputs
Altmetric has tracked 8,734,076 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23 research outputs from this source. They receive a mean Attention Score of 1.6. This one scored the same or higher as 17 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 299,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them