| Title |
A survey on deep learning-based fine-grained object classification and semantic segmentation
|
|---|---|
| Published in |
Machine Intelligence Research, January 2017
|
| DOI | 10.1007/s11633-017-1053-3 |
| Authors |
Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan |
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 % |
|---|---|---|
| China | 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 425 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 421 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 90 | 21% |
| Student > Ph. D. Student | 82 | 19% |
| Researcher | 34 | 8% |
| Student > Bachelor | 34 | 8% |
| Student > Postgraduate | 21 | 5% |
| Other | 41 | 10% |
| Unknown | 123 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 191 | 45% |
| Engineering | 69 | 16% |
| Agricultural and Biological Sciences | 8 | 2% |
| Biochemistry, Genetics and Molecular Biology | 4 | <1% |
| Earth and Planetary Sciences | 3 | <1% |
| Other | 17 | 4% |
| Unknown | 133 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 June 2023.
All research outputs
#3,622,206
of 25,374,647 outputs
Outputs from Machine Intelligence Research
#18
of 444 outputs
Outputs of similar age
#69,320
of 421,363 outputs
Outputs of similar age from Machine Intelligence Research
#1
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 95% 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 421,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.