The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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Title |
Transforming the Information System for Research in Primary Care (SIDIAP) in Catalonia to the OMOP Common Data Model and Its Use for COVID-19 Research
|
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Published in |
Clinical Epidemiology, September 2023
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DOI | 10.2147/clep.s419481 |
Pubmed ID | |
Authors |
Berta Raventós, Sergio Fernández-Bertolín, María Aragón, Erica A Voss, Clair Blacketer, Leonardo Méndez-Boo, Martina Recalde, Elena Roel, Andrea Pistillo, Carlen Reyes, Sebastiaan van Sandijk, Lars Halvorsen, Peter R Rijnbeek, Edward Burn, Talita Duarte-Salles |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 8 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 50% |
Members of the public | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 29% |
Researcher | 2 | 14% |
Lecturer | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 14% |
Nursing and Health Professions | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 2 | 14% |
Unknown | 5 | 36% |
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 04 October 2023.
All research outputs
#6,294,186
of 25,621,213 outputs
Outputs from Clinical Epidemiology
#236
of 794 outputs
Outputs of similar age
#90,301
of 355,937 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 6 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 70% 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 355,937 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 74% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.