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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Pure Transformer with Integrated Experts for Scene Text Recognition
|
|---|---|
| Chapter number | 28 |
| Book title |
Computer Vision – ECCV 2022
|
| Published in |
arXiv, November 2022
|
| DOI | 10.1007/978-3-031-19815-1_28 |
| Book ISBNs |
978-3-03-119814-4, 978-3-03-119815-1
|
| Authors |
Yew Lee Tan, Adams Wai-kin Kong, Jung-Jae Kim, Tan, Yew Lee, Kong, Adams Wai-Kin, Kim, Jung-Jae |
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% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Unspecified | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 32% |
| Unspecified | 2 | 11% |
| Arts and Humanities | 1 | 5% |
| Unknown | 10 | 53% |
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 10 November 2022.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#200,865
of 429,731 outputs
Outputs of similar age from arXiv
#10,988
of 41,597 outputs
Altmetric has tracked 24,093,053 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 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% 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 429,731 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 51% of its contemporaries.
We're also able to compare this research output to 41,597 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 69% of its contemporaries.