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Parameterization of the InVEST Crop Pollination Model to spatially predict abundance of wild blueberry (Vaccinium angustifolium Aiton) native bee pollinators in Maine, USA

Overview of attention for article published in Environmental Modelling & Software, May 2016
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Citations

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Title
Parameterization of the InVEST Crop Pollination Model to spatially predict abundance of wild blueberry (Vaccinium angustifolium Aiton) native bee pollinators in Maine, USA
Published in
Environmental Modelling & Software, May 2016
DOI 10.1016/j.envsoft.2016.01.003
Authors

Shannon C. Groff, Cynthia S. Loftin, Frank Drummond, Sara Bushmann, Brian McGill

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Researcher 20 17%
Student > Master 20 17%
Student > Doctoral Student 7 6%
Student > Bachelor 6 5%
Other 17 15%
Unknown 24 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 28%
Environmental Science 30 26%
Earth and Planetary Sciences 7 6%
Computer Science 4 3%
Engineering 3 3%
Other 8 7%
Unknown 31 27%