| Title |
Very Low Frequency Heart Rate Variability Predicts the Development of Post-Stroke Infections
|
|---|---|
| Published in |
Translational Stroke Research, January 2019
|
| DOI | 10.1007/s12975-018-0684-1 |
| Pubmed ID | |
| Authors |
Dirk Brämer, Albrecht Günther, Sven Rupprecht, Samuel Nowack, Josephine Adam, Fenja Meyer, Matthias Schwab, Ralf Surber, Otto W. Witte, Heike Hoyer, Dirk Hoyer |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 14% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 5 | 9% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 19 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 24% |
| Neuroscience | 5 | 9% |
| Sports and Recreations | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 25 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 July 2020.
All research outputs
#18,003,568
of 23,122,481 outputs
Outputs from Translational Stroke Research
#285
of 447 outputs
Outputs of similar age
#304,589
of 437,003 outputs
Outputs of similar age from Translational Stroke Research
#7
of 10 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 447 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% 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 437,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.