| Title |
Maximizing throughput gain via resource allocation in D2D communications
|
|---|---|
| Published in |
EURASIP Journal on Wireless Communications and Networking, December 2017
|
| DOI | 10.1186/s13638-017-1007-z |
| Authors |
Yucheng Wu, Xiaocui Liu, Xiang He, Qiong Yu, Weiyang Xu |
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 % |
|---|---|---|
| United Kingdom | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Student > Master | 6 | 33% |
| Student > Bachelor | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 50% |
| Computer Science | 4 | 22% |
| Unspecified | 2 | 11% |
| Unknown | 3 | 17% |
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 January 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#363
of 549 outputs
Outputs of similar age
#342,778
of 448,935 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#10
of 17 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 24th percentile – i.e., 24% 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 448,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.