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Machine learning components in deterministic models: hybrid synergy in the age of data

Overview of attention for article published in Frontiers in Environmental Science, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Machine learning components in deterministic models: hybrid synergy in the age of data
Published in
Frontiers in Environmental Science, April 2015
DOI 10.3389/fenvs.2015.00033
Authors

Evan B. Goldstein, Giovanni Coco

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Student > Bachelor 6 14%
Researcher 4 9%
Student > Master 3 7%
Lecturer > Senior Lecturer 2 5%
Other 8 19%
Unknown 7 16%
Readers by discipline Count As %
Engineering 11 26%
Earth and Planetary Sciences 8 19%
Computer Science 6 14%
Environmental Science 2 5%
Mathematics 1 2%
Other 4 9%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 June 2019.
All research outputs
#2,992,873
of 23,313,051 outputs
Outputs from Frontiers in Environmental Science
#280
of 3,597 outputs
Outputs of similar age
#39,895
of 264,989 outputs
Outputs of similar age from Frontiers in Environmental Science
#3
of 28 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,597 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 92% 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 264,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.