| Title |
Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care
|
|---|---|
| Published in |
Journal of Clinical Monitoring and Computing, May 2018
|
| DOI | 10.1007/s10877-018-0139-y |
| Pubmed ID | |
| Authors |
Rob Donald, Tim Howells, Ian Piper, P. Enblad, P. Nilsson, I. Chambers, B. Gregson, G. Citerio, K. Kiening, J. Neumann, A. Ragauskas, J. Sahuquillo, R. Sinnott, A. Stell, the BrainIT Group |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 12% |
| Student > Master | 9 | 8% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 28 | 26% |
| Unknown | 31 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 30% |
| Computer Science | 10 | 9% |
| Engineering | 5 | 5% |
| Psychology | 4 | 4% |
| Nursing and Health Professions | 3 | 3% |
| Other | 13 | 12% |
| Unknown | 39 | 37% |
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 06 August 2019.
All research outputs
#20,567,353
of 25,837,817 outputs
Outputs from Journal of Clinical Monitoring and Computing
#703
of 893 outputs
Outputs of similar age
#256,610
of 346,667 outputs
Outputs of similar age from Journal of Clinical Monitoring and Computing
#8
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 893 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 19th percentile – i.e., 19% 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 346,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.