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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
|
|---|---|
| Chapter number | 31 |
| Book title |
Computer Vision – ECCV 2018
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-01267-0_31 |
| Book ISBNs |
978-3-03-001266-3, 978-3-03-001267-0
|
| Authors |
Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen, Tian Fang, Long Quan, Zhou, Lei, Zhu, Siyu, Luo, Zixin, Shen, Tianwei, Zhang, Runze, Zhen, Mingmin, Fang, Tian, Quan, Long |
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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 173 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 20% |
| Student > Master | 23 | 13% |
| Researcher | 17 | 10% |
| Student > Bachelor | 8 | 5% |
| Student > Doctoral Student | 7 | 4% |
| Other | 17 | 10% |
| Unknown | 66 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 40% |
| Engineering | 21 | 12% |
| Earth and Planetary Sciences | 3 | 2% |
| Mathematics | 2 | 1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 74 | 43% |
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 28 February 2023.
All research outputs
#14,823,017
of 24,002,307 outputs
Outputs from arXiv
#271,819
of 1,011,770 outputs
Outputs of similar age
#185,536
of 339,604 outputs
Outputs of similar age from arXiv
#7,809
of 24,323 outputs
Altmetric has tracked 24,002,307 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 1,011,770 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 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 339,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,323 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 64% of its contemporaries.