| Title |
FML-kNN: scalable machine learning on Big Data using k-nearest neighbor joins
|
|---|---|
| Published in |
Journal of Big Data, February 2018
|
| DOI | 10.1186/s40537-018-0115-x |
| Authors |
Georgios Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou, Spiros Skiadopoulos |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 13% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Professor > Associate Professor | 4 | 5% |
| Other | 14 | 18% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 29% |
| Engineering | 10 | 13% |
| Business, Management and Accounting | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Decision Sciences | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 33 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 February 2018.
All research outputs
#14,374,920
of 23,020,670 outputs
Outputs from Journal of Big Data
#178
of 339 outputs
Outputs of similar age
#239,144
of 437,329 outputs
Outputs of similar age from Journal of Big Data
#8
of 11 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 43rd percentile – i.e., 43% 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 437,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.