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New England and northern New York forest ecosystem vulnerability assessment and synthesis: a report from the New England Climate Change Response Framework project

Overview of attention for article published in this source, January 2018
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26 X users
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3 Facebook pages

Citations

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60 Dimensions

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99 Mendeley
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Title
New England and northern New York forest ecosystem vulnerability assessment and synthesis: a report from the New England Climate Change Response Framework project
Published by
U.S. Department of Agriculture, Forest Service, Northern Research Station, January 2018
DOI 10.2737/nrs-gtr-173
Authors

Maria K. Janowiak, Anthony W. D'Amato, Christopher W. Swanston, Louis Iverson, Frank R. Thompson, William D. Dijak, Stephen Matthews, Matthew P. Peters, Anantha Prasad, Jacob S. Fraser, Leslie A. Brandt, Patricia Butler-Leopold, Stephen D. Handler, P. Danielle Shannon, Diane Burbank, John Campbell, Charles Cogbill, Matthew J. Duveneck, Marla R. Emery, Nicholas Fisichelli, Jane Foster, Jennifer Hushaw, Laura Kenefic, Amanda Mahaffey, Toni Lyn Morelli, Nicholas J. Reo, Paul G. Schaberg, K. Rogers Simmons, Aaron Weiskittel, Sandy Wilmot, David Hollinger, Erin Lane, Lindsey Rustad, Pamela H. Templer

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 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 > Ph. D. Student 20 20%
Student > Master 17 17%
Researcher 15 15%
Other 6 6%
Student > Bachelor 4 4%
Other 11 11%
Unknown 26 26%
Readers by discipline Count As %
Environmental Science 34 34%
Agricultural and Biological Sciences 15 15%
Earth and Planetary Sciences 7 7%
Social Sciences 3 3%
Engineering 2 2%
Other 6 6%
Unknown 32 32%