| Title |
Continuous glucose monitoring reveals glycemic variability and hypoglycemia after vertical sleeve gastrectomy in rats
|
|---|---|
| Published in |
Molecular Metabolism, December 2019
|
| DOI | 10.1016/j.molmet.2019.12.011 |
| Pubmed ID | |
| Authors |
Simon S. Evers, Ki-Suk Kim, Nadejda Bozadjieva, Alfor G. Lewis, Diana Farris, Matthew J. Sorensen, Youngsoo Kim, Steven E. Whitesall, Robert T. Kennedy, Daniel E. Michele, Randy J. Seeley, Darleen A. Sandoval |
X Demographics
The data shown below were collected from the profiles of 19 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 | 6 | 32% |
| Brazil | 1 | 5% |
| Mexico | 1 | 5% |
| Denmark | 1 | 5% |
| United Kingdom | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 53% |
| Scientists | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Unspecified | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Master | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Unspecified | 4 | 12% |
| Agricultural and Biological Sciences | 4 | 12% |
| Neuroscience | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 8 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 February 2020.
All research outputs
#3,274,275
of 25,519,924 outputs
Outputs from Molecular Metabolism
#499
of 1,621 outputs
Outputs of similar age
#75,957
of 478,583 outputs
Outputs of similar age from Molecular Metabolism
#17
of 50 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has gotten more attention than average, scoring higher than 69% 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 478,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 50 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.