| Title |
Deep learning for time series classification: a review
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, March 2019
|
| DOI | 10.1007/s10618-019-00619-1 |
| Authors |
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller |
X Demographics
The data shown below were collected from the profiles of 88 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 | 12 | 14% |
| France | 10 | 11% |
| Germany | 4 | 5% |
| South Africa | 4 | 5% |
| Japan | 3 | 3% |
| India | 3 | 3% |
| Spain | 2 | 2% |
| United Kingdom | 2 | 2% |
| Belgium | 1 | 1% |
| Other | 10 | 11% |
| Unknown | 37 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 61 | 69% |
| Scientists | 25 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,230 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3230 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 580 | 18% |
| Student > Master | 496 | 15% |
| Researcher | 355 | 11% |
| Student > Bachelor | 212 | 7% |
| Student > Doctoral Student | 145 | 4% |
| Other | 342 | 11% |
| Unknown | 1100 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 884 | 27% |
| Engineering | 534 | 17% |
| Mathematics | 78 | 2% |
| Physics and Astronomy | 72 | 2% |
| Agricultural and Biological Sciences | 54 | 2% |
| Other | 374 | 12% |
| Unknown | 1234 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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
#627,240
of 25,859,234 outputs
Outputs from Data Mining and Knowledge Discovery
#1
of 652 outputs
Outputs of similar age
#14,399
of 370,041 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 7 outputs
Altmetric has tracked 25,859,234 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 652 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% 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 370,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them