| Title |
Genetic Variants in SGLT1, Glucose Tolerance, and Cardiometabolic Risk
|
|---|---|
| Published in |
JACC, October 2018
|
| DOI | 10.1016/j.jacc.2018.07.061 |
| Pubmed ID | |
| Authors |
Sara B. Seidelmann, Elena Feofanova, Bing Yu, Nora Franceschini, Brian Claggett, Mikko Kuokkanen, Hannu Puolijoki, Tapani Ebeling, Markus Perola, Veikko Salomaa, Amil Shah, Josef Coresh, Elizabeth Selvin, Calum A. MacRae, Susan Cheng, Eric Boerwinkle, Scott D. Solomon |
X Demographics
The data shown below were collected from the profiles of 122 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 States | 26 | 21% |
| United Kingdom | 8 | 7% |
| Canada | 6 | 5% |
| Mexico | 3 | 2% |
| Spain | 3 | 2% |
| Colombia | 3 | 2% |
| Australia | 2 | 2% |
| Chile | 2 | 2% |
| Finland | 2 | 2% |
| Other | 19 | 16% |
| Unknown | 48 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 57% |
| Scientists | 29 | 24% |
| Practitioners (doctors, other healthcare professionals) | 17 | 14% |
| Science communicators (journalists, bloggers, editors) | 6 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 14% |
| Student > Bachelor | 15 | 13% |
| Student > Ph. D. Student | 11 | 9% |
| Researcher | 10 | 9% |
| Other | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 37 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 30% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Nursing and Health Professions | 9 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 42 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 197. 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 19 August 2022.
All research outputs
#203,894
of 26,017,215 outputs
Outputs from JACC
#457
of 17,045 outputs
Outputs of similar age
#4,072
of 358,582 outputs
Outputs of similar age from JACC
#22
of 242 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done particularly well, scoring higher than 97% 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 358,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.