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X Demographics
Mendeley readers
Attention Score in Context
Title |
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
|
---|---|
Published in |
arXiv, February 2020
|
DOI | 10.3389/fcomp.2020.00005 |
Authors |
Alexander Krull, Tomáš Vičar, Mangal Prakash, Manan Lalit, Florian Jug |
X Demographics
The data shown below were collected from the profiles of 107 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 | 22 | 21% |
United States | 16 | 15% |
United Kingdom | 5 | 5% |
Switzerland | 4 | 4% |
France | 4 | 4% |
Sweden | 3 | 3% |
Italy | 3 | 3% |
Portugal | 3 | 3% |
Canada | 3 | 3% |
Other | 10 | 9% |
Unknown | 34 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 52 | 49% |
Members of the public | 51 | 48% |
Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 184 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 19% |
Researcher | 31 | 17% |
Student > Master | 24 | 13% |
Student > Doctoral Student | 12 | 7% |
Other | 10 | 5% |
Other | 16 | 9% |
Unknown | 56 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 20% |
Engineering | 30 | 16% |
Physics and Astronomy | 19 | 10% |
Agricultural and Biological Sciences | 11 | 6% |
Biochemistry, Genetics and Molecular Biology | 9 | 5% |
Other | 16 | 9% |
Unknown | 63 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 02 March 2023.
All research outputs
#661,813
of 25,584,565 outputs
Outputs from arXiv
#8,219
of 930,683 outputs
Outputs of similar age
#16,765
of 384,216 outputs
Outputs of similar age from arXiv
#228
of 21,083 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 930,683 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 384,216 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 21,083 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 98% of its contemporaries.