| Title |
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, June 2017
|
| DOI | 10.1007/s10618-017-0519-9 |
| Authors |
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 20% |
| Student > Master | 37 | 19% |
| Researcher | 25 | 13% |
| Student > Doctoral Student | 6 | 3% |
| Student > Bachelor | 6 | 3% |
| Other | 24 | 12% |
| Unknown | 58 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 69 | 36% |
| Engineering | 33 | 17% |
| Neuroscience | 4 | 2% |
| Mathematics | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 20 | 10% |
| Unknown | 63 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 March 2024.
All research outputs
#7,439,343
of 25,613,746 outputs
Outputs from Data Mining and Knowledge Discovery
#142
of 644 outputs
Outputs of similar age
#110,356
of 329,671 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#7
of 27 outputs
Altmetric has tracked 25,613,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 644 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 76% 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 329,671 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 65% of its contemporaries.
We're also able to compare this research output to 27 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 74% of its contemporaries.