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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling pancreatic β-cell inflammation in zebrafish identifies the natural product wedelolactone for human islet protection
|
|---|---|
| Published in |
Disease Models and Mechanisms, January 2019
|
| DOI | 10.1242/dmm.036004 |
| Pubmed ID | |
| Authors |
Luis Fernando Delgadillo-Silva, Anastasia Tsakmaki, Nadeem Akhtar, Zara J. Franklin, Judith Konantz, Gavin A. Bewick, Nikolay Ninov |
X Demographics
The data shown below were collected from the profiles of 17 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 | 8 | 47% |
| Spain | 3 | 18% |
| United States | 2 | 12% |
| Germany | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 5 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Student > Master | 9 | 15% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 22 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 32% |
| Agricultural and Biological Sciences | 7 | 11% |
| Immunology and Microbiology | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Neuroscience | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 22 | 35% |
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 10 November 2021.
All research outputs
#3,270,592
of 25,385,509 outputs
Outputs from Disease Models and Mechanisms
#428
of 1,923 outputs
Outputs of similar age
#73,396
of 446,570 outputs
Outputs of similar age from Disease Models and Mechanisms
#29
of 118 outputs
Altmetric has tracked 25,385,509 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 1,923 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 77% 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 446,570 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 83% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.