| Title |
Ontology-based discovery of time-series data sources for landslide early warning system
|
|---|---|
| Published in |
Computing, June 2019
|
| DOI | 10.1007/s00607-019-00730-7 |
| Authors |
Jedsada Phengsuwan, Tejal Shah, Philip James, Dhavalkumar Thakker, Stuart Barr, Rajiv Ranjan |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Doctoral Student | 6 | 8% |
| Researcher | 4 | 6% |
| Lecturer | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 28 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 34% |
| Engineering | 7 | 10% |
| Business, Management and Accounting | 2 | 3% |
| Social Sciences | 2 | 3% |
| Environmental Science | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 26 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 June 2019.
All research outputs
#13,871,522
of 24,395,432 outputs
Outputs from Computing
#147
of 236 outputs
Outputs of similar age
#167,138
of 357,773 outputs
Outputs of similar age from Computing
#2
of 4 outputs
Altmetric has tracked 24,395,432 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 236 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 357,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.