↓ Skip to main content

Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops

Overview of attention for article published in International Journal of Geographical Information Science, March 2022
Altmetric Badge

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 (88th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops
Published in
International Journal of Geographical Information Science, March 2022
DOI 10.1080/13658816.2021.2020278
Authors

Christopher Chagumaira, Patson C. Nalivata, Joseph G. Chimungu, Dawd Gashu, Martin R. Broadley, Alice E. Milne, R. Murray Lark

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 27%
Other 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 2 18%
Unknown 2 18%
Readers by discipline Count As %
Unspecified 3 27%
Nursing and Health Professions 1 9%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Earth and Planetary Sciences 1 9%
Other 2 18%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 13 December 2022.
All research outputs
#2,178,103
of 25,452,734 outputs
Outputs from International Journal of Geographical Information Science
#1
of 1 outputs
Outputs of similar age
#52,058
of 450,254 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 1 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 450,254 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them