| Title |
Experiencing SAX: a novel symbolic representation of time series
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, April 2007
|
| DOI | 10.1007/s10618-007-0064-z |
| Authors |
Jessica Lin, Eamonn Keogh, Li Wei, Stefano Lonardi |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 898 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 1% |
| Germany | 10 | 1% |
| France | 9 | 1% |
| Spain | 8 | <1% |
| Malaysia | 4 | <1% |
| Russia | 4 | <1% |
| India | 4 | <1% |
| Japan | 3 | <1% |
| Finland | 3 | <1% |
| Other | 24 | 3% |
| Unknown | 816 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 267 | 30% |
| Student > Master | 147 | 16% |
| Researcher | 121 | 13% |
| Student > Bachelor | 49 | 5% |
| Student > Doctoral Student | 42 | 5% |
| Other | 130 | 14% |
| Unknown | 142 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 432 | 48% |
| Engineering | 151 | 17% |
| Mathematics | 22 | 2% |
| Agricultural and Biological Sciences | 13 | 1% |
| Earth and Planetary Sciences | 13 | 1% |
| Other | 89 | 10% |
| Unknown | 178 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 November 2023.
All research outputs
#1,702,794
of 25,837,817 outputs
Outputs from Data Mining and Knowledge Discovery
#11
of 654 outputs
Outputs of similar age
#3,659
of 94,889 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 94,889 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 94% of its contemporaries.
We're also able to compare this research output to 3 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