| Title |
Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function
|
|---|---|
| Published in |
Annals of Biomedical Engineering, March 2019
|
| DOI | 10.1007/s10439-019-02253-w |
| Pubmed ID | |
| Authors |
Sophie E. Morton, Jennifer L. Knopp, J. Geoffrey Chase, Knut Möller, Paul Docherty, Geoffrey M. Shaw, Merryn Tawhai |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Ph. D. Student | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 23 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 18% |
| Medicine and Dentistry | 9 | 16% |
| Computer Science | 2 | 4% |
| Psychology | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 29 | 51% |
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 01 May 2019.
All research outputs
#17,730,887
of 25,988,468 outputs
Outputs from Annals of Biomedical Engineering
#1,095
of 1,255 outputs
Outputs of similar age
#236,300
of 366,795 outputs
Outputs of similar age from Annals of Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 11th percentile – i.e., 11% 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 366,795 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
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