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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep Execution Monitor for Robot Assistive Tasks
|
|---|---|
| Chapter number | 11 |
| Book title |
Computer Vision – ECCV 2018 Workshops
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-11024-6_11 |
| Book ISBNs |
978-3-03-011023-9, 978-3-03-011024-6
|
| Authors |
Lorenzo Mauro, Edoardo Alati, Marta Sanzari, Valsamis Ntouskos, Gianluca Massimiani, Fiora Pirri, Mauro, Lorenzo, Alati, Edoardo, Sanzari, Marta, Ntouskos, Valsamis, Massimiani, Gianluca, Pirri, Fiora |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 10% |
| Japan | 1 | 10% |
| Netherlands | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Master | 2 | 11% |
| Student > Postgraduate | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 50% |
| Engineering | 2 | 11% |
| Unknown | 7 | 39% |
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 13 February 2019.
All research outputs
#8,364,506
of 24,998,746 outputs
Outputs from arXiv
#176,790
of 1,020,287 outputs
Outputs of similar age
#135,853
of 341,710 outputs
Outputs of similar age from arXiv
#4,592
of 21,845 outputs
Altmetric has tracked 24,998,746 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 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 341,710 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 21,845 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.