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Forecasting conditional climate-change using a hybrid approach

Overview of attention for article published in Environmental Modelling & Software, February 2014
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Mentioned by

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1 Facebook page

Citations

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5 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Forecasting conditional climate-change using a hybrid approach
Published in
Environmental Modelling & Software, February 2014
DOI 10.1016/j.envsoft.2013.10.009
Authors

Akbar Akbari Esfahani, Michael J. Friedel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 5 15%
Student > Bachelor 4 12%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 5 15%
Readers by discipline Count As %
Engineering 6 18%
Agricultural and Biological Sciences 4 12%
Earth and Planetary Sciences 4 12%
Computer Science 3 9%
Environmental Science 3 9%
Other 6 18%
Unknown 7 21%
Attention Score in Context

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 16 November 2013.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Environmental Modelling & Software
#1,458
of 1,538 outputs
Outputs of similar age
#282,798
of 322,718 outputs
Outputs of similar age from Environmental Modelling & Software
#21
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,538 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% 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 322,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.