| Title |
An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
|
|---|---|
| Published in |
Nature Communications, February 2020
|
| DOI | 10.1038/s41467-020-14529-0 |
| Pubmed ID | |
| Authors |
Joris Roels, Frank Vernaillen, Anna Kremer, Amanda Gonçalves, Jan Aelterman, Hiêp Q. Luong, Bart Goossens, Wilfried Philips, Saskia Lippens, Yvan Saeys |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 6 | 17% |
| United Kingdom | 4 | 11% |
| France | 3 | 9% |
| Australia | 2 | 6% |
| Germany | 2 | 6% |
| United States | 2 | 6% |
| Israel | 1 | 3% |
| Switzerland | 1 | 3% |
| Finland | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 80% |
| Scientists | 5 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 22% |
| Student > Ph. D. Student | 20 | 18% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 11 | 10% |
| Professor > Associate Professor | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 28 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Materials Science | 13 | 12% |
| Agricultural and Biological Sciences | 13 | 12% |
| Engineering | 11 | 10% |
| Computer Science | 7 | 6% |
| Other | 22 | 20% |
| Unknown | 33 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 22 September 2022.
All research outputs
#1,361,436
of 23,988,888 outputs
Outputs from Nature Communications
#19,636
of 50,717 outputs
Outputs of similar age
#34,156
of 455,896 outputs
Outputs of similar age from Nature Communications
#637
of 1,449 outputs
Altmetric has tracked 23,988,888 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 50,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.3. This one has gotten more attention than average, scoring higher than 61% 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 455,896 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 92% of its contemporaries.
We're also able to compare this research output to 1,449 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 56% of its contemporaries.