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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
|
|---|---|
| Chapter number | 24 |
| Book title |
Computer Vision – ECCV 2022
|
| Published in |
arXiv, November 2022
|
| DOI | 10.1007/978-3-031-19797-0_24 |
| Book ISBNs |
978-3-03-119796-3, 978-3-03-119797-0
|
| Authors |
Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool, Sun, Lei, Sakaridis, Christos, Liang, Jingyun, Jiang, Qi, Yang, Kailun, Sun, Peng, Ye, Yaozu, Wang, Kaiwei, Gool, Luc Van |
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 % |
|---|---|---|
| Netherlands | 1 | 25% |
| Japan | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Student > Master | 5 | 13% |
| Researcher | 4 | 10% |
| Unspecified | 2 | 5% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 36% |
| Engineering | 5 | 13% |
| Unspecified | 2 | 5% |
| Arts and Humanities | 2 | 5% |
| Unknown | 16 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 January 2023.
All research outputs
#2,816,604
of 23,530,272 outputs
Outputs from arXiv
#50,476
of 973,284 outputs
Outputs of similar age
#58,289
of 444,773 outputs
Outputs of similar age from arXiv
#1,964
of 43,017 outputs
Altmetric has tracked 23,530,272 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 973,284 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 444,773 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 86% of its contemporaries.
We're also able to compare this research output to 43,017 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.