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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
|
|---|---|
| Published in |
Critical Care, July 2020
|
| DOI | 10.1186/s13054-020-03103-1 |
| Pubmed ID | |
| Authors |
Jesper Johnsson, Ola Björnsson, Peder Andersson, Andreas Jakobsson, Tobias Cronberg, Gisela Lilja, Hans Friberg, Christian Hassager, Jesper Kjaergard, Matt Wise, Niklas Nielsen, Attila Frigyesi |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 17% |
| Germany | 1 | 8% |
| United Kingdom | 1 | 8% |
| South Africa | 1 | 8% |
| Romania | 1 | 8% |
| Spain | 1 | 8% |
| Austria | 1 | 8% |
| Saudi Arabia | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 2 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 10% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 6 | 5% |
| Student > Ph. D. Student | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 54 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 22% |
| Nursing and Health Professions | 12 | 11% |
| Computer Science | 7 | 6% |
| Engineering | 5 | 4% |
| Unspecified | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 55 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 August 2020.
All research outputs
#6,269,875
of 25,387,668 outputs
Outputs from Critical Care
#3,610
of 6,555 outputs
Outputs of similar age
#131,109
of 427,031 outputs
Outputs of similar age from Critical Care
#97
of 170 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 427,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.