You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Real-Time Improvement of Continuous Glucose Monitoring Accuracy The smart sensor concept
|
|---|---|
| Published in |
Diabetes Care, March 2013
|
| DOI | 10.2337/dc12-0736 |
| Pubmed ID | |
| Authors |
Andrea Facchinetti, Giovanni Sparacino, Stefania Guerra, Yoeri M. Luijf, J. Hans DeVries, Julia K. Mader, Martin Ellmerer, Carsten Benesch, Lutz Heinemann, Daniela Bruttomesso, Angelo Avogaro, Claudio Cobelli |
| Abstract |
Reliability of continuous glucose monitoring (CGM) sensors is key in several applications. In this work we demonstrate that real-time algorithms can render CGM sensors smarter by reducing their uncertainty and inaccuracy and improving their ability to alert for hypo- and hyperglycemic events. |
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 | 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Netherlands | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 93 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 25% |
| Researcher | 21 | 22% |
| Student > Master | 12 | 13% |
| Professor > Associate Professor | 6 | 6% |
| Other | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 15 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 26% |
| Engineering | 24 | 25% |
| Agricultural and Biological Sciences | 6 | 6% |
| Economics, Econometrics and Finance | 4 | 4% |
| Chemistry | 4 | 4% |
| Other | 15 | 16% |
| Unknown | 18 | 19% |
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 21 March 2013.
All research outputs
#17,345,186
of 26,017,215 outputs
Outputs from Diabetes Care
#9,379
of 10,913 outputs
Outputs of similar age
#135,170
of 213,529 outputs
Outputs of similar age from Diabetes Care
#110
of 162 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one is in the 12th percentile – i.e., 12% 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 213,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.