| Title |
Cluster-based trajectory segmentation with local noise
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, March 2018
|
| DOI | 10.1007/s10618-018-0561-2 |
| Authors |
Maria Luisa Damiani, Fatima Hachem, Hamza Issa, Nathan Ranc, Paul Moorcroft, Francesca Cagnacci |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Student > Master | 10 | 22% |
| Other | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Lecturer | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 24% |
| Agricultural and Biological Sciences | 4 | 9% |
| Environmental Science | 3 | 7% |
| Engineering | 3 | 7% |
| Earth and Planetary Sciences | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 15 | 33% |
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 08 May 2018.
All research outputs
#14,823,017
of 24,002,307 outputs
Outputs from Data Mining and Knowledge Discovery
#293
of 550 outputs
Outputs of similar age
#185,545
of 334,907 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#6
of 13 outputs
Altmetric has tracked 24,002,307 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 550 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 45th percentile – i.e., 45% 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 334,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 61% of its contemporaries.