| Title |
A novel algorithm for fast and scalable subspace clustering of high-dimensional data
|
|---|---|
| Published in |
Journal of Big Data, August 2015
|
| DOI | 10.1186/s40537-015-0027-y |
| Authors |
Amardeep Kaur, Amitava Datta |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 33% |
| United States | 1 | 33% |
| India | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Australia | 1 | 2% |
| Vietnam | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 31% |
| Student > Master | 10 | 17% |
| Student > Doctoral Student | 5 | 8% |
| Researcher | 5 | 8% |
| Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 56% |
| Engineering | 7 | 12% |
| Arts and Humanities | 1 | 2% |
| Mathematics | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 September 2015.
All research outputs
#7,755,290
of 23,577,761 outputs
Outputs from Journal of Big Data
#135
of 356 outputs
Outputs of similar age
#90,463
of 265,967 outputs
Outputs of similar age from Journal of Big Data
#8
of 10 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 58% 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 265,967 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 10 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.