| Title |
A survey of methods for time series change point detection
|
|---|---|
| Published in |
Knowledge and Information Systems, September 2016
|
| DOI | 10.1007/s10115-016-0987-z |
| Pubmed ID | |
| Authors |
Samaneh Aminikhanghahi, Diane J. Cook |
X Demographics
The data shown below were collected from the profiles of 16 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 | 3 | 19% |
| Japan | 3 | 19% |
| Comoros | 1 | 6% |
| United Kingdom | 1 | 6% |
| Germany | 1 | 6% |
| Canada | 1 | 6% |
| India | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 4 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,240 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Caledonia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 1238 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 266 | 21% |
| Student > Master | 180 | 15% |
| Researcher | 174 | 14% |
| Student > Doctoral Student | 65 | 5% |
| Student > Bachelor | 61 | 5% |
| Other | 166 | 13% |
| Unknown | 328 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 308 | 25% |
| Engineering | 193 | 16% |
| Mathematics | 69 | 6% |
| Agricultural and Biological Sciences | 40 | 3% |
| Earth and Planetary Sciences | 35 | 3% |
| Other | 206 | 17% |
| Unknown | 389 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 27 December 2023.
All research outputs
#1,368,972
of 25,837,817 outputs
Outputs from Knowledge and Information Systems
#6
of 686 outputs
Outputs of similar age
#24,397
of 347,469 outputs
Outputs of similar age from Knowledge and Information Systems
#1
of 11 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 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 686 research outputs from this source. They receive a mean Attention Score of 2.4. 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 347,469 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 92% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.