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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatially explicit modeling of 1992–2100 land cover and forest stand age for the conterminous United States
|
|---|---|
| Published in |
Ecological Applications, July 2014
|
| DOI | 10.1890/13-1245.1 |
| Pubmed ID | |
| Authors |
Terry L. Sohl, Kristi L. Sayler, Michelle A. Bouchard, Ryan R. Reker, Aaron M. Friesz, Stacie L. Bennett, Benjamin M. Sleeter, Rachel R. Sleeter, Tamara Wilson, Chris Soulard, Michelle Knuppe, Travis Van Hofwegen |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 5% |
| Spain | 3 | 1% |
| Canada | 2 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| United Kingdom | 1 | <1% |
| Australia | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 192 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 29% |
| Student > Ph. D. Student | 46 | 22% |
| Student > Master | 22 | 10% |
| Student > Bachelor | 12 | 6% |
| Student > Doctoral Student | 12 | 6% |
| Other | 26 | 12% |
| Unknown | 33 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 23% |
| Environmental Science | 48 | 23% |
| Earth and Planetary Sciences | 27 | 13% |
| Engineering | 12 | 6% |
| Social Sciences | 10 | 5% |
| Other | 14 | 7% |
| Unknown | 52 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 101. 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 28 August 2023.
All research outputs
#401,880
of 24,701,898 outputs
Outputs from Ecological Applications
#82
of 3,334 outputs
Outputs of similar age
#3,460
of 232,858 outputs
Outputs of similar age from Ecological Applications
#1
of 33 outputs
Altmetric has tracked 24,701,898 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,334 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 97% 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 232,858 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 98% of its contemporaries.
We're also able to compare this research output to 33 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 96% of its contemporaries.