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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks
|
|---|---|
| Published in |
Methods in Ecology and Evolution, December 2014
|
| DOI | 10.1111/2041-210x.12316 |
| Authors |
Chris Sutherland, Angela K. Fuller, J. Andrew Royle |
X Demographics
The data shown below were collected from the profiles of 12 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 | 33% |
| Ecuador | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Germany | 2 | <1% |
| Switzerland | 1 | <1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Latvia | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 218 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 23% |
| Researcher | 53 | 23% |
| Student > Master | 31 | 13% |
| Student > Bachelor | 17 | 7% |
| Other | 11 | 5% |
| Other | 35 | 15% |
| Unknown | 35 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 121 | 51% |
| Environmental Science | 54 | 23% |
| Mathematics | 4 | 2% |
| Earth and Planetary Sciences | 3 | 1% |
| Engineering | 3 | 1% |
| Other | 6 | 3% |
| Unknown | 44 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 25 November 2019.
All research outputs
#2,401,211
of 25,371,288 outputs
Outputs from Methods in Ecology and Evolution
#1,138
of 2,441 outputs
Outputs of similar age
#32,036
of 359,539 outputs
Outputs of similar age from Methods in Ecology and Evolution
#21
of 52 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,441 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one has gotten more attention than average, scoring higher than 53% 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 359,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 52 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 59% of its contemporaries.