| Title |
S-RASTER: contraction clustering for evolving data streams
|
|---|---|
| Published in |
Journal of Big Data, August 2020
|
| DOI | 10.1186/s40537-020-00336-3 |
| Authors |
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 28% |
| Student > Ph. D. Student | 4 | 22% |
| Lecturer | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 44% |
| Business, Management and Accounting | 2 | 11% |
| Mathematics | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 July 2020.
All research outputs
#17,295,853
of 25,387,668 outputs
Outputs from Journal of Big Data
#241
of 391 outputs
Outputs of similar age
#271,898
of 425,231 outputs
Outputs of similar age from Journal of Big Data
#18
of 27 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 425,231 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
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 is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.