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Ganoderma boninense disease deduced from simulation modelling with large data sets of future Malaysian oil palm climate

Overview of attention for article published in Phytoparasitica, March 2019
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Mentioned by

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1 X user

Citations

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29 Dimensions

Readers on

mendeley
99 Mendeley
Title
Ganoderma boninense disease deduced from simulation modelling with large data sets of future Malaysian oil palm climate
Published in
Phytoparasitica, March 2019
DOI 10.1007/s12600-019-00723-4
Authors

R. R. M. Paterson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 17%
Researcher 11 11%
Unspecified 8 8%
Student > Ph. D. Student 8 8%
Student > Master 7 7%
Other 14 14%
Unknown 34 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 22%
Engineering 11 11%
Unspecified 8 8%
Biochemistry, Genetics and Molecular Biology 5 5%
Environmental Science 4 4%
Other 16 16%
Unknown 33 33%
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 14 March 2019.
All research outputs
#20,559,323
of 23,133,982 outputs
Outputs from Phytoparasitica
#204
of 228 outputs
Outputs of similar age
#302,765
of 351,556 outputs
Outputs of similar age from Phytoparasitica
#2
of 2 outputs
Altmetric has tracked 23,133,982 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 228 research outputs from this source. They receive a mean Attention Score of 3.4. 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 351,556 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 2 others from the same source and published within six weeks on either side of this one.