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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying Multiscale Habitat Structural Complexity: A Cost-Effective Framework for Underwater 3D Modelling
|
|---|---|
| Published in |
Remote Sensing, February 2016
|
| DOI | 10.3390/rs8020113 |
| Authors |
Renata Ferrari, David McKinnon, Hu He, Ryan N. Smith, Peter Corke, Manuel González-Rivero, Peter J. Mumby, Ben Upcroft |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 15% |
| Norway | 1 | 8% |
| Mexico | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 267 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 18% |
| Researcher | 47 | 17% |
| Student > Master | 45 | 17% |
| Student > Bachelor | 23 | 8% |
| Other | 15 | 6% |
| Other | 39 | 14% |
| Unknown | 55 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 31% |
| Environmental Science | 67 | 25% |
| Earth and Planetary Sciences | 27 | 10% |
| Computer Science | 9 | 3% |
| Engineering | 9 | 3% |
| Other | 16 | 6% |
| Unknown | 61 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 27 June 2021.
All research outputs
#2,926,456
of 23,577,761 outputs
Outputs from Remote Sensing
#941
of 11,856 outputs
Outputs of similar age
#52,524
of 400,384 outputs
Outputs of similar age from Remote Sensing
#10
of 176 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,856 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% 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 400,384 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.