| Title |
Ensemble feature learning for material recognition with convolutional neural networks
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, July 2018
|
| DOI | 10.1186/s13640-018-0300-z |
| Authors |
Peng Bian, Wanwan Li, Yi Jin, Ruicong Zhi |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 30% |
| Student > Ph. D. Student | 5 | 22% |
| Lecturer | 3 | 13% |
| Researcher | 3 | 13% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 48% |
| Engineering | 6 | 26% |
| Business, Management and Accounting | 3 | 13% |
| Mathematics | 1 | 4% |
| Design | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 1 | 4% |
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 16 June 2022.
All research outputs
#8,538,940
of 25,385,509 outputs
Outputs from EURASIP Journal on Image and Video Processing
#56
of 233 outputs
Outputs of similar age
#135,738
of 340,947 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#3
of 11 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 51% 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 340,947 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 52% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.