| Title |
Personalized therapy algorithms for type 2 diabetes: a phenotype-based approach
|
|---|---|
| Published in |
Pharmacogenomics and Personalized Medicine, June 2014
|
| DOI | 10.2147/pgpm.s50288 |
| Pubmed ID | |
| Authors |
Antonio Ceriello, Marco Gallo, Riccardo Candido, Alberto De Micheli, Katherine Esposito, Sandro Gentile, Gerardo Medea |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Mexico | 2 | 3% |
| United Kingdom | 1 | 2% |
| Unknown | 56 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 7 | 11% |
| Professor | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Other | 9 | 15% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 36% |
| Agricultural and Biological Sciences | 6 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 August 2014.
All research outputs
#15,417,146
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#123,125
of 241,720 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 0 of them.
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 241,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them