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 |
Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France
|
---|---|
Published in |
Archives of Public Health, September 2021
|
DOI | 10.1186/s13690-021-00687-0 |
Pubmed ID | |
Authors |
Romana Haneef, Sofiane Kab, Rok Hrzic, Sonsoles Fuentes, Sandrine Fosse-Edorh, Emmanuel Cosson, Anne Gallay |
X Demographics
The data shown below were collected from the profiles of 9 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 | 22% |
Chile | 1 | 11% |
United Kingdom | 1 | 11% |
Ghana | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 1 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 15% |
Student > Master | 5 | 9% |
Student > Ph. D. Student | 3 | 6% |
Student > Doctoral Student | 1 | 2% |
Professor | 1 | 2% |
Other | 5 | 9% |
Unknown | 30 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 11% |
Engineering | 3 | 6% |
Nursing and Health Professions | 3 | 6% |
Medicine and Dentistry | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 6 | 11% |
Unknown | 32 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 March 2022.
All research outputs
#6,724,105
of 25,392,582 outputs
Outputs from Archives of Public Health
#393
of 1,145 outputs
Outputs of similar age
#126,058
of 435,654 outputs
Outputs of similar age from Archives of Public Health
#12
of 27 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 435,654 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.