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Prediction of CO2 storage site integrity with rough set-based machine learning

Overview of attention for article published in Clean Technologies & Environmental Policy, July 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
6 Mendeley
Title
Prediction of CO2 storage site integrity with rough set-based machine learning
Published in
Clean Technologies & Environmental Policy, July 2019
DOI 10.1007/s10098-019-01732-x
Authors

Kathleen B. Aviso, Jose Isagani B. Janairo, Michael Angelo B. Promentilla, Raymond R. Tan

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Lecturer 2 33%
Unspecified 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 2 33%
Business, Management and Accounting 1 17%
Social Sciences 1 17%
Unspecified 1 17%
Unknown 1 17%

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 27 July 2019.
All research outputs
#11,242,305
of 14,179,640 outputs
Outputs from Clean Technologies & Environmental Policy
#116
of 137 outputs
Outputs of similar age
#184,346
of 253,281 outputs
Outputs of similar age from Clean Technologies & Environmental Policy
#8
of 10 outputs
Altmetric has tracked 14,179,640 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 137 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 7th percentile – i.e., 7% 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 253,281 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.