| Title |
Clustering of Mixed Data by Integrating Fuzzy, Probabilistic, and Collaborative Clustering Framework
|
|---|---|
| Published in |
International Journal of Fuzzy Systems, April 2016
|
| DOI | 10.1007/s40815-016-0168-y |
| Authors |
Arkanath Pathak, Nikhil R. Pal |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Croatia | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Student > Doctoral Student | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Researcher | 2 | 14% |
| Other | 2 | 14% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 43% |
| Engineering | 2 | 14% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 5 | 36% |
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 05 April 2016.
All research outputs
#15,366,818
of 22,860,626 outputs
Outputs from International Journal of Fuzzy Systems
#13
of 39 outputs
Outputs of similar age
#180,293
of 300,331 outputs
Outputs of similar age from International Journal of Fuzzy Systems
#1
of 1 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 26 of them.
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 300,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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