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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward a Social-Ecological Theory of Forest Macrosystems for Improved Ecosystem Management
|
|---|---|
| Published in |
Forests, April 2018
|
| DOI | 10.3390/f9040200 |
| Authors |
William J. Kleindl, Paul C. Stoy, Michael W. Binford, Ankur R. Desai, Michael C. Dietze, Courtney A. Schultz, Gregory Starr, Christina L. Staudhammer, David J. A. Wood |
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 % |
|---|---|---|
| Bolivia, Plurinational State of | 1 | 13% |
| Switzerland | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 9 | 12% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 6 | 8% |
| Other | 15 | 19% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 29 | 37% |
| Agricultural and Biological Sciences | 14 | 18% |
| Social Sciences | 4 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 23 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 August 2018.
All research outputs
#4,703,375
of 23,577,761 outputs
Outputs from Forests
#484
of 4,070 outputs
Outputs of similar age
#90,031
of 330,507 outputs
Outputs of similar age from Forests
#31
of 135 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 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,070 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 87% 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 330,507 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 72% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.