| Title |
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
|
|---|---|
| Published in |
Annals of Oncology, August 2018
|
| DOI | 10.1093/annonc/mdy166 |
| Pubmed ID | |
| Authors |
H.A. Haenssle, C. Fink, R. Schneiderbauer, F. Toberer, T. Buhl, A. Blum, A. Kalloo, A. Ben Hadj Hassen, L. Thomas, A. Enk, L. Uhlmann, Reader study level-I and level-II Groups, Christina Alt, Monika Arenbergerova, Renato Bakos, Anne Baltzer, Ines Bertlich, Andreas Blum, Therezia Bokor-Billmann, Jonathan Bowling, Naira Braghiroli, Ralph Braun, Kristina Buder-Bakhaya, Timo Buhl, Horacio Cabo, Leo Cabrijan, Naciye Cevic, Anna Classen, David Deltgen, Christine Fink, Ivelina Georgieva, Lara-Elena Hakim-Meibodi, Susanne Hanner, Franziska Hartmann, Julia Hartmann, Georg Haus, Elti Hoxha, Raimonds Karls, Hiroshi Koga, Jürgen Kreusch, Aimilios Lallas, Pawel Majenka, Ash Marghoob, Cesare Massone, Lali Mekokishvili, Dominik Mestel, Volker Meyer, Anna Neuberger, Kari Nielsen, Margaret Oliviero, Riccardo Pampena, John Paoli, Erika Pawlik, Barbar Rao, Adriana Rendon, Teresa Russo, Ahmed Sadek, Kinga Samhaber, Roland Schneiderbauer, Anissa Schweizer, Ferdinand Toberer, Lukas Trennheuser, Lyobomira Vlahova, Alexander Wald, Julia Winkler, Priscila Wölbing, Iris Zalaudek |
X Demographics
The data shown below were collected from the profiles of 685 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 112 | 16% |
| France | 85 | 12% |
| United Kingdom | 39 | 6% |
| Canada | 21 | 3% |
| Australia | 18 | 3% |
| Spain | 15 | 2% |
| Germany | 15 | 2% |
| India | 12 | 2% |
| Japan | 11 | 2% |
| Other | 97 | 14% |
| Unknown | 260 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 517 | 75% |
| Scientists | 109 | 16% |
| Practitioners (doctors, other healthcare professionals) | 44 | 6% |
| Science communicators (journalists, bloggers, editors) | 15 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,000 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1000 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 111 | 11% |
| Student > Bachelor | 107 | 11% |
| Researcher | 103 | 10% |
| Student > Master | 99 | 10% |
| Student > Doctoral Student | 55 | 6% |
| Other | 176 | 18% |
| Unknown | 349 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 186 | 19% |
| Computer Science | 148 | 15% |
| Engineering | 66 | 7% |
| Biochemistry, Genetics and Molecular Biology | 41 | 4% |
| Agricultural and Biological Sciences | 23 | 2% |
| Other | 141 | 14% |
| Unknown | 395 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2461. 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 26 March 2024.
All research outputs
#3,201
of 25,750,437 outputs
Outputs from Annals of Oncology
#1
of 7,903 outputs
Outputs of similar age
#42
of 342,953 outputs
Outputs of similar age from Annals of Oncology
#1
of 98 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,903 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 342,953 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 99% of its contemporaries.
We're also able to compare this research output to 98 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.