You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial machine-learning model diagnostics: a model-agnostic distance-based approach
|
|---|---|
| Published in |
International Journal of Geographical Information Science, October 2022
|
| DOI | 10.1080/13658816.2022.2131789 |
| Authors |
Alexander Brenning |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 18% |
| United States | 2 | 9% |
| United Kingdom | 2 | 9% |
| South Africa | 1 | 5% |
| Czechia | 1 | 5% |
| Brazil | 1 | 5% |
| India | 1 | 5% |
| France | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 50% |
| Members of the public | 10 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 5 | 17% |
| Lecturer | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 5 | 17% |
| Earth and Planetary Sciences | 4 | 13% |
| Social Sciences | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 17 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 11 December 2022.
All research outputs
#2,616,842
of 25,452,734 outputs
Outputs from International Journal of Geographical Information Science
#1
of 1 outputs
Outputs of similar age
#53,957
of 441,344 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. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 441,344 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
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