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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application ClimateEngine.org
|
|---|---|
| Published in |
Ecological Engineering, September 2018
|
| DOI | 10.1016/j.ecoleng.2018.06.024 |
| Authors |
Mark B. Hausner, Justin L. Huntington, Caroline Nash, Charles Morton, Daniel J. McEvoy, David S. Pilliod, Katherine C. Hegewisch, Britta Daudert, John T. Abatzoglou, Gordon Grant |
X Demographics
The data shown below were collected from the profiles of 10 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 | 5 | 50% |
| Canada | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 21% |
| Researcher | 23 | 19% |
| Student > Ph. D. Student | 13 | 11% |
| Other | 7 | 6% |
| Student > Doctoral Student | 7 | 6% |
| Other | 14 | 12% |
| Unknown | 30 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 31 | 26% |
| Agricultural and Biological Sciences | 15 | 13% |
| Earth and Planetary Sciences | 12 | 10% |
| Engineering | 9 | 8% |
| Arts and Humanities | 2 | 2% |
| Other | 10 | 8% |
| Unknown | 40 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 June 2023.
All research outputs
#5,407,995
of 25,385,509 outputs
Outputs from Ecological Engineering
#252
of 1,571 outputs
Outputs of similar age
#97,302
of 345,739 outputs
Outputs of similar age from Ecological Engineering
#13
of 54 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,571 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 83% 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 345,739 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 71% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.