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Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments

Overview of attention for article published in Biological Conservation, October 2016
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Mentioned by

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4 X users

Citations

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16 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments
Published in
Biological Conservation, October 2016
DOI 10.1016/j.biocon.2016.07.030
Authors

Christopher P. Nadeau, Angela K. Fuller

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 21 19%
Student > Master 16 14%
Other 9 8%
Student > Bachelor 7 6%
Other 22 19%
Unknown 16 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 40%
Environmental Science 40 35%
Social Sciences 2 2%
Nursing and Health Professions 1 <1%
Business, Management and Accounting 1 <1%
Other 8 7%
Unknown 16 14%
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 09 September 2016.
All research outputs
#15,740,207
of 25,374,917 outputs
Outputs from Biological Conservation
#5,667
of 6,612 outputs
Outputs of similar age
#191,569
of 332,577 outputs
Outputs of similar age from Biological Conservation
#76
of 92 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one is in the 13th percentile – i.e., 13% 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 332,577 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.