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X Demographics
Mendeley readers
Attention Score in Context
Title |
Using electric network theory to model the spread of oak processionary moth, Thaumetopoea processionea, in urban woodland patches
|
---|---|
Published in |
Landscape Ecology, March 2015
|
DOI | 10.1007/s10980-015-0168-6 |
Authors |
Daniel J. Cowley, Oliver Johnson, Michael J. O. Pocock |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 57% |
Mexico | 1 | 14% |
Australia | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 43% |
Scientists | 3 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Australia | 1 | <1% |
United Kingdom | 1 | <1% |
Brazil | 1 | <1% |
Belgium | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 105 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 28% |
Researcher | 25 | 22% |
Student > Master | 12 | 11% |
Student > Bachelor | 7 | 6% |
Student > Postgraduate | 4 | 4% |
Other | 8 | 7% |
Unknown | 25 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 31% |
Environmental Science | 25 | 22% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Computer Science | 4 | 4% |
Mathematics | 3 | 3% |
Other | 5 | 4% |
Unknown | 36 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 October 2015.
All research outputs
#7,519,895
of 25,824,818 outputs
Outputs from Landscape Ecology
#729
of 1,743 outputs
Outputs of similar age
#80,032
of 273,783 outputs
Outputs of similar age from Landscape Ecology
#10
of 27 outputs
Altmetric has tracked 25,824,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 273,783 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.