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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Development of a GIS Methodology to Identify Oxbows and Former Stream Meanders from LiDAR-Derived Digital Elevation Models
|
|---|---|
| Published in |
Remote Sensing, December 2018
|
| DOI | 10.3390/rs11010012 |
| Authors |
Courtney L. Zambory, Harvest Ellis, Clay L. Pierce, Kevin J. Roe, Michael J. Weber, Keith E. Schilling, Nathan C. Young |
X Demographics
The data shown below were collected from the profiles of 8 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 States | 4 | 50% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 7 | 26% |
| Environmental Science | 6 | 22% |
| Engineering | 3 | 11% |
| Computer Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 December 2018.
All research outputs
#6,602,085
of 23,511,526 outputs
Outputs from Remote Sensing
#2,587
of 11,813 outputs
Outputs of similar age
#134,747
of 438,398 outputs
Outputs of similar age from Remote Sensing
#82
of 322 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,813 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 438,398 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 322 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 74% of its contemporaries.