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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Increased β-cell proliferation before immune cell invasion prevents progression of type 1 diabetes
|
|---|---|
| Published in |
Nature Metabolism, May 2019
|
| DOI | 10.1038/s42255-019-0061-8 |
| Pubmed ID | |
| Authors |
Ercument Dirice, Sevim Kahraman, Dario F. De Jesus, Abdelfattah El Ouaamari, Giorgio Basile, Rocky L. Baker, Burcu Yigit, Paul D. Piehowski, Mi-Jeong Kim, Alexander J. Dwyer, Raymond W. S. Ng, Cornelia Schuster, Heidrun Vethe, Tijana Martinov, Yuki Ishikawa, Adrian Kee Keong Teo, Richard D. Smith, Jiang Hu, Kathryn Haskins, Thomas Serwold, Wei-Jun Qian, Brian T. Fife, Stephan Kissler, Rohit N. Kulkarni |
X Demographics
The data shown below were collected from the profiles of 44 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 | 11 | 25% |
| Japan | 3 | 7% |
| France | 2 | 5% |
| Canada | 2 | 5% |
| Germany | 1 | 2% |
| Spain | 1 | 2% |
| Denmark | 1 | 2% |
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 18 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 64% |
| Scientists | 13 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Researcher | 9 | 16% |
| Other | 6 | 10% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 24% |
| Medicine and Dentistry | 7 | 12% |
| Agricultural and Biological Sciences | 6 | 10% |
| Immunology and Microbiology | 4 | 7% |
| Neuroscience | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 22 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 04 March 2020.
All research outputs
#715,599
of 25,223,158 outputs
Outputs from Nature Metabolism
#298
of 958 outputs
Outputs of similar age
#15,921
of 356,845 outputs
Outputs of similar age from Nature Metabolism
#4
of 26 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 77.9. This one has gotten more attention than average, scoring higher than 68% 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 356,845 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 95% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.