| Title |
Expected similarity estimation for large-scale batch and streaming anomaly detection
|
|---|---|
| Published in |
Machine Learning, May 2016
|
| DOI | 10.1007/s10994-016-5567-7 |
| Authors |
Markus Schneider, Wolfgang Ertel, Fabio Ramos |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Student > Master | 17 | 18% |
| Researcher | 12 | 13% |
| Student > Bachelor | 7 | 7% |
| Other | 6 | 6% |
| Other | 14 | 15% |
| Unknown | 15 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 57 | 59% |
| Engineering | 11 | 11% |
| Mathematics | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 07 June 2016.
All research outputs
#2,811,181
of 25,373,627 outputs
Outputs from Machine Learning
#73
of 1,225 outputs
Outputs of similar age
#47,679
of 349,757 outputs
Outputs of similar age from Machine Learning
#2
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 93% 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 349,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.