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 |
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
|
---|---|
Chapter number | 46 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
Published in |
arXiv, September 2021
|
DOI | 10.1007/978-3-030-87237-3_46 |
Book ISBNs |
978-3-03-087236-6, 978-3-03-087237-3
|
Authors |
Tim Prangemeier, Christoph Reich, Christian Wildner, Heinz Koeppl, Reich, Christoph, Prangemeier, Tim, Wildner, Christian, Koeppl, Heinz |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 23% |
United States | 1 | 8% |
Japan | 1 | 8% |
France | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 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 | 5 | 26% |
Researcher | 3 | 16% |
Student > Ph. D. Student | 2 | 11% |
Student > Bachelor | 1 | 5% |
Unknown | 8 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 21% |
Mathematics | 3 | 16% |
Engineering | 3 | 16% |
Physics and Astronomy | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Other | 0 | 0% |
Unknown | 7 | 37% |
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 07 October 2021.
All research outputs
#2,070,489
of 24,093,053 outputs
Outputs from arXiv
#34,874
of 1,020,419 outputs
Outputs of similar age
#47,638
of 421,042 outputs
Outputs of similar age from arXiv
#1,057
of 34,718 outputs
Altmetric has tracked 24,093,053 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 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 421,042 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 88% of its contemporaries.
We're also able to compare this research output to 34,718 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 96% of its contemporaries.