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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling spatially non-stationary land use/cover change in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model
|
|---|---|
| Published in |
International Journal of Geographical Information Science, March 2019
|
| DOI | 10.1080/13658816.2019.1591416 |
| Authors |
Hui Wang, Scott R. Stephenson, Shijin Qu |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 7 | 13% |
| Researcher | 6 | 11% |
| Student > Doctoral Student | 4 | 8% |
| Lecturer | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 14 | 26% |
| Earth and Planetary Sciences | 5 | 9% |
| Agricultural and Biological Sciences | 4 | 8% |
| Engineering | 4 | 8% |
| Social Sciences | 4 | 8% |
| Other | 4 | 8% |
| Unknown | 18 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 March 2019.
All research outputs
#15,572,547
of 25,452,734 outputs
Outputs from International Journal of Geographical Information Science
#1
of 1 outputs
Outputs of similar age
#207,035
of 379,015 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 1 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 379,015 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them