| Title |
A new energy-aware wireless sensor network evolution model based on complex network
|
|---|---|
| Published in |
EURASIP Journal on Wireless Communications and Networking, September 2018
|
| DOI | 10.1186/s13638-018-1240-0 |
| Authors |
Shujuan Cui, Yuan Cao, Gengxin Sun, Sheng Bin |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Professor | 1 | 13% |
| Lecturer | 1 | 13% |
| Researcher | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 50% |
| Engineering | 2 | 25% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 September 2018.
All research outputs
#8,478,408
of 25,385,509 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#103
of 549 outputs
Outputs of similar age
#138,003
of 347,461 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#4
of 23 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 81% of its peers.
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 347,461 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 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.