| Title |
A risk evaluation model for karst groundwater pollution based on geographic information system and artificial neural network applications
|
|---|---|
| Published in |
Environmental Earth Sciences, May 2018
|
| DOI | 10.1007/s12665-018-7539-7 |
| Authors |
Li Bo, Zeng Yi-Fan, Zhang Bei-Bei, Wang Xian-Qing |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 18% |
| Environmental Science | 4 | 12% |
| Earth and Planetary Sciences | 3 | 9% |
| Computer Science | 3 | 9% |
| Unknown | 17 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from Environmental Earth Sciences
#742
of 1,780 outputs
Outputs of similar age
#253,933
of 327,709 outputs
Outputs of similar age from Environmental Earth Sciences
#13
of 22 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,780 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 50% 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 327,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.