Title |
Learning deep representations for semantic image parsing: a comprehensive overview
|
---|---|
Published in |
Frontiers of Computer Science, August 2018
|
DOI | 10.1007/s11704-018-7195-8 |
Authors |
Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 2 | 29% |
Netherlands | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 19% |
Researcher | 6 | 17% |
Student > Ph. D. Student | 4 | 11% |
Student > Bachelor | 3 | 8% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 8% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 50% |
Engineering | 3 | 8% |
Unspecified | 1 | 3% |
Unknown | 14 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 February 2024.
All research outputs
#6,517,788
of 25,440,205 outputs
Outputs from Frontiers of Computer Science
#63
of 536 outputs
Outputs of similar age
#105,166
of 344,529 outputs
Outputs of similar age from Frontiers of Computer Science
#2
of 11 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 536 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 344,529 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 69% 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 done particularly well, scoring higher than 90% of its contemporaries.