Pattern Recognition. ICPR International Workshops and Challenges
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
|
|---|---|
| Book title |
Pattern Recognition. ICPR International Workshops and Challenges
|
| Published in |
arXiv, March 2021
|
| DOI | 10.1007/978-3-030-68799-1_9 |
| Book ISBNs |
978-3-03-068798-4, 978-3-03-068799-1
|
| Authors |
Michail Tsiaousis, Gertjan Burghouts, Fieke Hillerström, Peter van der Putten, Tsiaousis, Michail, Burghouts, Gertjan, Hillerström, Fieke, van der Putten, Peter |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Netherlands | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 17% |
| Other | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 50% |
| Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 August 2021.
All research outputs
#15,470,029
of 24,980,180 outputs
Outputs from arXiv
#266,230
of 1,018,032 outputs
Outputs of similar age
#228,461
of 427,706 outputs
Outputs of similar age from arXiv
#8,246
of 31,890 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 70% 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 427,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31,890 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 71% of its contemporaries.