The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
|
|---|---|
| Published in |
Frontiers in Human Dynamics, July 2021
|
| DOI | 10.3389/fhumd.2021.673104 |
| Authors |
Roberto V. Zicari, James Brusseau, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Marianna B. Ganapini, Sara Gerke, Thomas Krendl Gilbert, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Ulrich Kühne, Vince I. Madai, Walter Osika, Andy Spezzatti, Eberhard Schnebel, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth, Julia Amann, Vegard Antun, Valentina Beretta, Frédérick Bruneault, Erik Campano, Boris Düdder, Alessio Gallucci, Emmanuel Goffi, Christoffer Bjerre Haase, Thilo Hagendorff, Pedro Kringen, Florian Möslein, Davi Ottenheimer, Matiss Ozols, Laura Palazzani, Martin Petrin, Karin Tafur, Jim Tørresen, Holger Volland, Georgios Kararigas |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 15% |
| France | 1 | 5% |
| Canada | 1 | 5% |
| Vietnam | 1 | 5% |
| Ireland | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 12 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 5 | 25% |
| Practitioners (doctors, other healthcare professionals) | 3 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Researcher | 9 | 12% |
| Student > Master | 9 | 12% |
| Other | 4 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 8 | 10% |
| Unknown | 33 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Medicine and Dentistry | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 3 | 4% |
| Other | 20 | 26% |
| Unknown | 36 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 October 2021.
All research outputs
#1,657,633
of 25,992,468 outputs
Outputs from Frontiers in Human Dynamics
#1
of 1 outputs
Outputs of similar age
#40,078
of 453,955 outputs
Outputs of similar age from Frontiers in Human Dynamics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one scored the same or higher as 0 of them.
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 453,955 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 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them