↓ Skip to main content

Fractal and geostatistical methods for modeling of a fracture network

Overview of attention for article published in Mathematical Geosciences, August 1988
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 291)
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

policy
1 policy source
patent
1 patent

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
59 Mendeley
Title
Fractal and geostatistical methods for modeling of a fracture network
Published in
Mathematical Geosciences, August 1988
DOI 10.1007/bf00890581
Authors

J. P. Chilès

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 27%
Student > Ph. D. Student 13 22%
Student > Doctoral Student 8 14%
Other 4 7%
Student > Master 3 5%
Other 5 8%
Unknown 10 17%
Readers by discipline Count As %
Engineering 20 34%
Earth and Planetary Sciences 18 31%
Environmental Science 3 5%
Agricultural and Biological Sciences 1 2%
Computer Science 1 2%
Other 5 8%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 December 2022.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Mathematical Geosciences
#26
of 291 outputs
Outputs of similar age
#1,563
of 12,346 outputs
Outputs of similar age from Mathematical Geosciences
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 291 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% of its peers.
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 12,346 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 73% of its contemporaries.
We're also able to compare this research output to 2 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