| Title |
Whole-exome sequencing in maya indigenous families: variant in PPP1R3A is associated with type 2 diabetes
|
|---|---|
| Published in |
Molecular Genetics and Genomics, June 2018
|
| DOI | 10.1007/s00438-018-1453-2 |
| Pubmed ID | |
| Authors |
Katy Sánchez-Pozos, María Guadalupe Ortíz-López, Bárbara I. Peña-Espinoza, María de los Ángeles Granados-Silvestre, Verónica Jiménez-Jacinto, Jérôme Verleyen, Fasil Tekola-Ayele, Alejandro Sanchez-Flores, Marta Menjivar |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 24% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Researcher | 4 | 10% |
| Professor > Associate Professor | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 27% |
| Agricultural and Biological Sciences | 5 | 12% |
| Medicine and Dentistry | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 15 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 March 2019.
All research outputs
#15,438,270
of 25,998,826 outputs
Outputs from Molecular Genetics and Genomics
#2,674
of 3,386 outputs
Outputs of similar age
#181,110
of 345,213 outputs
Outputs of similar age from Molecular Genetics and Genomics
#7
of 22 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,386 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 21st percentile – i.e., 21% 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 345,213 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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 68% of its contemporaries.