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X Demographics
Mendeley readers
Attention Score in Context
Title |
3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation
|
---|---|
Published in |
BioMedical Engineering OnLine, October 2019
|
DOI | 10.1186/s12938-019-0720-8 |
Pubmed ID | |
Authors |
Vincent Uyttendaele, Jennifer L. Knopp, Shaun Davidson, Thomas Desaive, Balazs Benyo, Geoffrey M. Shaw, J. Geoffrey Chase |
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 % |
---|---|---|
France | 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 19% |
Lecturer | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Researcher | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 4 | 19% |
Unknown | 6 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 14% |
Medicine and Dentistry | 3 | 14% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Mathematics | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Other | 3 | 14% |
Unknown | 8 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 October 2019.
All research outputs
#15,055,790
of 23,170,347 outputs
Outputs from BioMedical Engineering OnLine
#398
of 827 outputs
Outputs of similar age
#209,140
of 358,215 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 9 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 48th percentile – i.e., 48% 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 358,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.