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 |
Study protocol for the Maule Cohort (MAUCO) of chronic diseases, Chile 2014–2024
|
|---|---|
| Published in |
BMC Public Health, February 2016
|
| DOI | 10.1186/s12889-015-2454-2 |
| Pubmed ID | |
| Authors |
Catterina Ferreccio, Juan Carlos Roa, Claudia Bambs, Alejandra Vives, Alejandro H. Corvalán, Sandra Cortés, Claudia Foerster, Johanna Acevedo, Andrea Huidobro, Alvaro Passi, Pablo Toro, Yerko Covacevich, Rolando de la Cruz, Jill Koshiol, Mauricio Olivares, Juan Francisco Miquel, Francisco Cruz, Raúl Silva, Andrew F. Quest, Marcelo J. Kogan, Pablo F. Castro, Sergio Lavandero |
| Abstract |
Maule Cohort (MAUCO), a Chilean cohort study, seeks to analyze the natural history of chronic diseases in the agricultural county of Molina (40,000 inhabitants) in the Maule Region, Chile. Molina´s population is of particular interest because in the last few decades it changed from being undernourished to suffering excess caloric intake, and it currently has the highest national rates of cardiovascular diseases, stomach cancer and gallbladder cancer. Between 2009 and 2011 Molina´s poverty rate dropped from 24.1 % to 13.5 % (national average 20.4 %); in this period the county went from insufficient to almost complete basic sanitation. Despite these advances, chemical pollutants in the food and air are increasing. Thus, in Molina risk factors typical of both under-developed and developed countries coexist, generating a unique profile associated with inflammation, oxidative stress and chronic diseases. MAUCO is the core project of the recently established Advanced Center for Chronic Diseases (ACCDiS), Universidad de Chile & Pontificia Universidad Católica de Chile. In this study, we are enrolling and following 10,000 adults aged 38 to 74 years over 10 years. All eligible Molina residents will be enrolled. Participants were identified through a household census. Consenting individuals answer an epidemiological survey exploring risk factors (psycho-social, pesticides, diet, alcohol, and physical activity), medical history and physical and cognitive conditions; provide fasting blood, urine, and saliva samples; receive an electrocardiogram, abdominal ultrasound and bio-impedance test; and take a hand-grip strength test. These subjects will be re-interviewed after 2, 5 and 7 years. Active surveillance of health events is in place throughout the regional healthcare system. The MAUCO Bio-Bank will store 30 to 50 aliquots per subject using an NIH/NCI biorepository system for secure and anonymous linkage of samples with data. MAUCO´s results will help design public health interventions tailored to agricultural populations in Latin America. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 205 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 16% |
| Student > Master | 26 | 13% |
| Student > Bachelor | 21 | 10% |
| Student > Ph. D. Student | 20 | 10% |
| Professor | 14 | 7% |
| Other | 41 | 20% |
| Unknown | 51 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 22% |
| Nursing and Health Professions | 19 | 9% |
| Psychology | 15 | 7% |
| Agricultural and Biological Sciences | 13 | 6% |
| Social Sciences | 12 | 6% |
| Other | 36 | 18% |
| Unknown | 64 | 31% |
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 20 August 2016.
All research outputs
#20,337,788
of 22,883,326 outputs
Outputs from BMC Public Health
#13,947
of 14,924 outputs
Outputs of similar age
#333,967
of 397,097 outputs
Outputs of similar age from BMC Public Health
#248
of 261 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% 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 397,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 261 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.