| Title |
Autonomic balance determines the severity of COVID-19 courses
|
|---|---|
| Published in |
Bioelectronic Medicine, November 2020
|
| DOI | 10.1186/s42234-020-00058-0 |
| Pubmed ID | |
| Authors |
M. Leitzke, D. Stefanovic, J.-J. Meyer, S. Schimpf, P. Schönknecht |
X Demographics
The data shown below were collected from the profiles of 29 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 | 6 | 21% |
| Spain | 2 | 7% |
| Finland | 2 | 7% |
| United Kingdom | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 17 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 79% |
| Scientists | 5 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 5 | 8% |
| Student > Postgraduate | 3 | 5% |
| Other | 10 | 15% |
| Unknown | 30 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 26% |
| Nursing and Health Professions | 6 | 9% |
| Neuroscience | 3 | 5% |
| Engineering | 3 | 5% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 29 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 January 2024.
All research outputs
#1,997,469
of 25,734,859 outputs
Outputs from Bioelectronic Medicine
#24
of 142 outputs
Outputs of similar age
#53,634
of 528,430 outputs
Outputs of similar age from Bioelectronic Medicine
#1
of 6 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 83% 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 528,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 6 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