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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein quality and the food matrix: defining optimal versus maximal meal-based protein intakes for stimulating muscle protein synthesis
|
|---|---|
| Published in |
Applied Physiology, Nutrition, and Metabolism, April 2023
|
| DOI | 10.1139/apnm-2022-0373 |
| Pubmed ID | |
| Authors |
Takeshi M. Barnes, Max T. Deutz, Žan Zupančič, Andrew T. Askow, Daniel R. Moore, Nicholas A. Burd |
Twitter Demographics
The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 14% |
| United Kingdom | 2 | 10% |
| Sweden | 2 | 10% |
| Japan | 1 | 5% |
| India | 1 | 5% |
| Bahamas | 1 | 5% |
| United States | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 8 | 38% |
| Scientists | 7 | 33% |
| Members of the public | 6 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 25% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Master | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 35% |
| Medicine and Dentistry | 3 | 15% |
| Sports and Recreations | 3 | 15% |
| Nursing and Health Professions | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 03 August 2023.
All research outputs
#2,572,645
of 24,211,034 outputs
Outputs from Applied Physiology, Nutrition, and Metabolism
#450
of 2,066 outputs
Outputs of similar age
#48,876
of 404,625 outputs
Outputs of similar age from Applied Physiology, Nutrition, and Metabolism
#5
of 30 outputs
Altmetric has tracked 24,211,034 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done well, scoring higher than 78% 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 404,625 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 87% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.