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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A machine learning approach to personalized predictors of dyslipidemia: a cohort study
|
|---|---|
| Published in |
Frontiers in Public Health, September 2023
|
| DOI | 10.3389/fpubh.2023.1213926 |
| Pubmed ID | |
| Authors |
Guadalupe Gutiérrez-Esparza, Tomas Pulido, Mireya Martínez-García, Tania Ramírez-delReal, Lucero E. Groves-Miralrio, Manlio F. Márquez-Murillo, Luis M. Amezcua-Guerra, Gilberto Vargas-Alarcón, Enrique Hernández-Lemus |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 13% |
| Student > Master | 3 | 13% |
| Lecturer | 2 | 8% |
| Librarian | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 13% |
| Nursing and Health Professions | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Environmental Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 58% |
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 21 September 2023.
All research outputs
#19,224,428
of 24,479,790 outputs
Outputs from Frontiers in Public Health
#6,232
of 12,634 outputs
Outputs of similar age
#102,973
of 157,414 outputs
Outputs of similar age from Frontiers in Public Health
#118
of 372 outputs
Altmetric has tracked 24,479,790 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 43rd percentile – i.e., 43% 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 157,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 372 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 62% of its contemporaries.