| Title |
A multi-armed bandit approach for exploring partially observed networks
|
|---|---|
| Published in |
Applied Network Science, May 2019
|
| DOI | 10.1007/s41109-019-0145-0 |
| Authors |
Kaushalya Madhawa, Tsuyoshi Murata |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 27% |
| Student > Doctoral Student | 2 | 13% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 20% |
| Computer Science | 3 | 20% |
| Business, Management and Accounting | 1 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Mathematics | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
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 03 June 2019.
All research outputs
#18,022,700
of 23,149,216 outputs
Outputs from Applied Network Science
#390
of 509 outputs
Outputs of similar age
#245,393
of 350,044 outputs
Outputs of similar age from Applied Network Science
#27
of 31 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 8th percentile – i.e., 8% 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 350,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.