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Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda

Overview of attention for article published in Agroforestry Systems, July 2017
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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21 Dimensions

Readers on

mendeley
163 Mendeley
Title
Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda
Published in
Agroforestry Systems, July 2017
DOI 10.1007/s10457-017-0111-8
Authors

Gil Gram, Philippe Vaast, Just van der Wolf, Laurence Jassogne

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 15%
Student > Master 25 15%
Researcher 22 13%
Student > Bachelor 14 9%
Student > Doctoral Student 10 6%
Other 22 13%
Unknown 45 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 26%
Environmental Science 28 17%
Social Sciences 15 9%
Economics, Econometrics and Finance 6 4%
Computer Science 4 2%
Other 16 10%
Unknown 52 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 January 2019.
All research outputs
#15,331,872
of 23,571,271 outputs
Outputs from Agroforestry Systems
#634
of 986 outputs
Outputs of similar age
#189,307
of 317,189 outputs
Outputs of similar age from Agroforestry Systems
#12
of 23 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 986 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 33rd percentile – i.e., 33% 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 317,189 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.