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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Is it possible to overcome issues of external validity in preclinical animal research? Why most animal models are bound to fail
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2018
|
| DOI | 10.1186/s12967-018-1678-1 |
| Pubmed ID | |
| Authors |
Pandora Pound, Merel Ritskes-Hoitinga |
X Demographics
The data shown below were collected from the profiles of 37 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 | 22% |
| United States | 3 | 8% |
| Germany | 3 | 8% |
| India | 2 | 5% |
| Australia | 2 | 5% |
| Belgium | 1 | 3% |
| Switzerland | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 16 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 86% |
| Scientists | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 365 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 15% |
| Researcher | 45 | 12% |
| Student > Master | 44 | 12% |
| Student > Bachelor | 42 | 12% |
| Other | 15 | 4% |
| Other | 32 | 9% |
| Unknown | 133 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 12% |
| Medicine and Dentistry | 24 | 7% |
| Neuroscience | 23 | 6% |
| Engineering | 20 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 19 | 5% |
| Other | 86 | 24% |
| Unknown | 149 | 41% |
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 26 February 2024.
All research outputs
#720,016
of 25,364,936 outputs
Outputs from Journal of Translational Medicine
#144
of 4,631 outputs
Outputs of similar age
#15,793
of 365,070 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 110 outputs
Altmetric has tracked 25,364,936 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 4,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 96% 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 365,070 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 110 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 98% of its contemporaries.