| Title |
Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
|
|---|---|
| Published in |
Journal of Big Data, September 2017
|
| DOI | 10.1186/s40537-017-0087-2 |
| Authors |
Chowdam Sreedhar, Nagulapally Kasiviswanath, Pakanti Chenna Reddy |
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 % |
|---|---|---|
| Unknown | 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 13% |
| Lecturer | 9 | 9% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 8 | 8% |
| Student > Ph. D. Student | 7 | 7% |
| Other | 25 | 25% |
| Unknown | 31 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 30% |
| Engineering | 11 | 11% |
| Business, Management and Accounting | 5 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Decision Sciences | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 36 | 35% |
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 September 2017.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from Journal of Big Data
#258
of 339 outputs
Outputs of similar age
#242,026
of 315,613 outputs
Outputs of similar age from Journal of Big Data
#6
of 6 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 5th percentile – i.e., 5% 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 315,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.