You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream
|
|---|---|
| Published in |
Journal of Big Data, July 2019
|
| DOI | 10.1186/s40537-019-0220-5 |
| Authors |
Ari Wibisono, Devvi Sarwinda, Petrus Mursanto |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 21% |
| Student > Doctoral Student | 4 | 14% |
| Unspecified | 4 | 14% |
| Lecturer | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 29% |
| Unspecified | 4 | 14% |
| Business, Management and Accounting | 2 | 7% |
| Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 9 | 32% |
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 04 July 2019.
All research outputs
#18,685,268
of 23,151,828 outputs
Outputs from Journal of Big Data
#264
of 346 outputs
Outputs of similar age
#259,535
of 348,403 outputs
Outputs of similar age from Journal of Big Data
#17
of 22 outputs
Altmetric has tracked 23,151,828 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 346 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 348,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.