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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Resveratrol induces insulin gene expression in mouse pancreatic α-cells
|
|---|---|
| Published in |
Cell & Bioscience, December 2013
|
| DOI | 10.1186/2045-3701-3-47 |
| Pubmed ID | |
| Authors |
Sherwin Xie, Rohit Anthony Sinha, Brijesh K Singh, Guo Dong Li, Weiping Han, Paul M Yen |
| Abstract |
Type 1 and type 2 diabetes are characterized by loss of β-cells; therefore, β-cell regeneration has become one of the primary approaches to diabetes therapy. Resveratrol, a naturally occurring polyphenolic compound, has been shown to improve glycaemic control in diabetic patients, but its action on pancreatic α-cells is not well understood. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Student > Doctoral Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 27% |
| Medicine and Dentistry | 5 | 23% |
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 15 December 2016.
All research outputs
#3,972,436
of 22,751,628 outputs
Outputs from Cell & Bioscience
#92
of 921 outputs
Outputs of similar age
#47,758
of 307,397 outputs
Outputs of similar age from Cell & Bioscience
#1
of 9 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 921 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% 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 307,397 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 9 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