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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Editorial: The use of large animal models to improve pre-clinical translational research
|
---|---|
Published in |
Frontiers in Veterinary Science, November 2022
|
DOI | 10.3389/fvets.2022.1086912 |
Pubmed ID | |
Authors |
Mark Gray, Stefano Guido, Abirami Kugadas |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 17% |
Student > Bachelor | 1 | 8% |
Unspecified | 1 | 8% |
Researcher | 1 | 8% |
Student > Master | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Neuroscience | 1 | 8% |
Other | 1 | 8% |
Unknown | 6 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 December 2022.
All research outputs
#18,088,660
of 23,243,271 outputs
Outputs from Frontiers in Veterinary Science
#3,592
of 6,490 outputs
Outputs of similar age
#280,765
of 432,303 outputs
Outputs of similar age from Frontiers in Veterinary Science
#230
of 508 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 432,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 508 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.