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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost
|
|---|---|
| Published in |
Computers, Environment & Urban Systems, September 2022
|
| DOI | 10.1016/j.compenvurbsys.2022.101845 |
| Authors |
Ziqi Li |
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 % |
|---|---|---|
| United States | 6 | 27% |
| United Kingdom | 4 | 18% |
| Colombia | 1 | 5% |
| Nigeria | 1 | 5% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 45% |
| Scientists | 10 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 153 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 12% |
| Student > Master | 16 | 10% |
| Researcher | 10 | 7% |
| Lecturer | 9 | 6% |
| Other | 8 | 5% |
| Other | 21 | 14% |
| Unknown | 70 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 10% |
| Computer Science | 15 | 10% |
| Earth and Planetary Sciences | 11 | 7% |
| Social Sciences | 6 | 4% |
| Unspecified | 6 | 4% |
| Other | 22 | 14% |
| Unknown | 77 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 17 November 2023.
All research outputs
#2,114,276
of 25,392,582 outputs
Outputs from Computers, Environment & Urban Systems
#33
of 620 outputs
Outputs of similar age
#44,886
of 429,605 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#2
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 94% 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 429,605 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 89% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.