You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Automated Classification of Airborne Laser Scanning Point Clouds
|
|---|---|
| Chapter number | 12 |
| Book title |
Solving Computationally Expensive Engineering Problems
|
| Published in |
arXiv, January 2014
|
| DOI | 10.1007/978-3-319-08985-0_12 |
| Book ISBNs |
978-3-31-908984-3, 978-3-31-908985-0
|
| Authors |
Christoph Waldhauser, Ronald Hochreiter, Johannes Otepka, Norbert Pfeifer, Sajid Ghuffar, Karolina Korzeniowska, Gerald Wagner, Waldhauser, Christoph, Hochreiter, Ronald, Otepka, Johannes, Pfeifer, Norbert, Ghuffar, Sajid, Korzeniowska, Karolina, Wagner, Gerald |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 5% |
| South Africa | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 40% |
| Student > Ph. D. Student | 5 | 25% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 30% |
| Earth and Planetary Sciences | 4 | 20% |
| Agricultural and Biological Sciences | 2 | 10% |
| Environmental Science | 2 | 10% |
| Linguistics | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 1 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 May 2021.
All research outputs
#7,038,174
of 23,508,125 outputs
Outputs from arXiv
#148,922
of 972,279 outputs
Outputs of similar age
#82,461
of 308,851 outputs
Outputs of similar age from arXiv
#771
of 9,913 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 972,279 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 308,851 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 72% of its contemporaries.
We're also able to compare this research output to 9,913 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 91% of its contemporaries.