The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling
|
|---|---|
| Published in |
Frontiers in Robotics and AI, September 2020
|
| DOI | 10.3389/frobt.2020.475767 |
| Pubmed ID | |
| Authors |
Haoran Chen, Ke Lin, Alexander Maye, Jianmin Li, Xiaolin Hu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Lecturer | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 39% |
| Arts and Humanities | 1 | 3% |
| Social Sciences | 1 | 3% |
| Engineering | 1 | 3% |
| Unknown | 17 | 52% |
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 10 July 2021.
All research outputs
#7,347,314
of 23,155,957 outputs
Outputs from Frontiers in Robotics and AI
#506
of 1,526 outputs
Outputs of similar age
#160,023
of 411,095 outputs
Outputs of similar age from Frontiers in Robotics and AI
#16
of 52 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 65% 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 411,095 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 60% of its contemporaries.
We're also able to compare this research output to 52 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 67% of its contemporaries.