| Title |
RZA-NLMF algorithm-based adaptive sparse sensing for realizing compressive sensing
|
|---|---|
| Published in |
arXiv, August 2014
|
| DOI | 10.1186/1687-6180-2014-125 |
| Authors |
Guan Gui, Li Xu, Fumiyuki Adachi |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 1 | 33% |
| Unknown | 2 | 67% |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 8% |
| Ghana | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Doctoral Student | 2 | 17% |
| Student > Master | 2 | 17% |
| Professor | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 58% |
| Computer Science | 4 | 33% |
| Environmental Science | 1 | 8% |
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 March 2014.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from arXiv
#426,310
of 914,146 outputs
Outputs of similar age
#167,055
of 242,351 outputs
Outputs of similar age from arXiv
#2,916
of 9,855 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 914,146 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 43rd percentile – i.e., 43% 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 242,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9,855 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.