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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario
|
|---|---|
| Published in |
IEEE/ACM Transactions on Networking, July 2022
|
| DOI | 10.1109/tnet.2022.3187310 |
| Authors |
Federico Mason, Gianfranco Nencioni, Andrea Zanella |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Unspecified | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 37% |
| Engineering | 4 | 13% |
| Unspecified | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Unknown | 12 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2022.
All research outputs
#14,485,392
of 25,392,582 outputs
Outputs from IEEE/ACM Transactions on Networking
#1,032
of 1,156 outputs
Outputs of similar age
#178,362
of 439,890 outputs
Outputs of similar age from IEEE/ACM Transactions on Networking
#1
of 1 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,156 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 10th percentile – i.e., 10% 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 439,890 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
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