↓ Skip to main content

Extreme value Birnbaum–Saunders regression models applied to environmental data

Overview of attention for article published in Stochastic Environmental Research & Risk Assessment, May 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
9 Mendeley
Title
Extreme value Birnbaum–Saunders regression models applied to environmental data
Published in
Stochastic Environmental Research & Risk Assessment, May 2015
DOI 10.1007/s00477-015-1069-6
Authors

Víctor Leiva, Marta Ferreira, M. Ivette Gomes, Camilo Lillo

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Professor 1 11%
Student > Ph. D. Student 1 11%
Lecturer > Senior Lecturer 1 11%
Other 1 11%
Readers by discipline Count As %
Mathematics 4 44%
Engineering 3 33%
Computer Science 1 11%
Unspecified 1 11%

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 21 May 2015.
All research outputs
#9,767,902
of 12,222,940 outputs
Outputs from Stochastic Environmental Research & Risk Assessment
#82
of 223 outputs
Outputs of similar age
#163,117
of 230,936 outputs
Outputs of similar age from Stochastic Environmental Research & Risk Assessment
#2
of 64 outputs
Altmetric has tracked 12,222,940 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 30th percentile – i.e., 30% 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 230,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.