| Title |
Deep Scatter Estimation (DSE): Accurate Real-Time Scatter Estimation for X-Ray CT Using a Deep Convolutional Neural Network
|
|---|---|
| Published in |
Journal of Nondestructive Evaluation, July 2018
|
| DOI | 10.1007/s10921-018-0507-z |
| Authors |
Joscha Maier, Stefan Sawall, Michael Knaup, Marc Kachelrieß |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 21% |
| Researcher | 20 | 20% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 5 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 34 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 20% |
| Physics and Astronomy | 20 | 20% |
| Medicine and Dentistry | 11 | 11% |
| Computer Science | 6 | 6% |
| Environmental Science | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 38 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 05 December 2023.
All research outputs
#2,244,991
of 25,263,619 outputs
Outputs from Journal of Nondestructive Evaluation
#5
of 253 outputs
Outputs of similar age
#44,274
of 332,700 outputs
Outputs of similar age from Journal of Nondestructive Evaluation
#1
of 19 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 98% 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 332,700 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 19 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 99% of its contemporaries.