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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein intake and exercise for optimal muscle function with aging: Recommendations from the ESPEN Expert Group
|
|---|---|
| Published in |
Clinical Nutrition, April 2014
|
| DOI | 10.1016/j.clnu.2014.04.007 |
| Pubmed ID | |
| Authors |
Nicolaas E.P. Deutz, Jürgen M. Bauer, Rocco Barazzoni, Gianni Biolo, Yves Boirie, Anja Bosy-Westphal, Tommy Cederholm, Alfonso Cruz-Jentoft, Zeljko Krznariç, K. Sreekumaran Nair, Pierre Singer, Daniel Teta, Kevin Tipton, Philip C. Calder |
| Abstract |
The aging process is associated with gradual and progressive loss of muscle mass along with lowered strength and physical endurance. This condition, sarcopenia, has been widely observed with aging in sedentary adults. Regular aerobic and resistance exercise programs have been shown to counteract most aspects of sarcopenia. In addition, good nutrition, especially adequate protein and energy intake, can help limit and treat age-related declines in muscle mass, strength, and functional abilities. Protein nutrition in combination with exercise is considered optimal for maintaining muscle function. With the goal of providing recommendations for health care professionals to help older adults sustain muscle strength and function into older age, the European Society for Clinical Nutrition and Metabolism (ESPEN) hosted a Workshop on Protein Requirements in the Elderly, held in Dubrovnik on November 24 and 25, 2013. Based on the evidence presented and discussed, the following recommendations are made (a) for healthy older people, the diet should provide at least 1.0-1.2 g protein/kg body weight/day, (b) for older people who are malnourished or at risk of malnutrition because they have acute or chronic illness, the diet should provide 1.2-1.5 g protein/kg body weight/day, with even higher intake for individuals with severe illness or injury, and (c) daily physical activity or exercise (resistance training, aerobic exercise) should be undertaken by all older people, for as long as possible. |
X Demographics
The data shown below were collected from the profiles of 147 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 | 28 | 19% |
| United States | 18 | 12% |
| Spain | 8 | 5% |
| Canada | 7 | 5% |
| Chile | 3 | 2% |
| Australia | 3 | 2% |
| Japan | 3 | 2% |
| Mexico | 2 | 1% |
| Brazil | 2 | 1% |
| Other | 15 | 10% |
| Unknown | 58 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 48% |
| Practitioners (doctors, other healthcare professionals) | 44 | 30% |
| Scientists | 27 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
| Unknown | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,801 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | <1% |
| United States | 4 | <1% |
| Brazil | 2 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| Australia | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 1781 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 323 | 18% |
| Student > Bachelor | 291 | 16% |
| Researcher | 158 | 9% |
| Student > Ph. D. Student | 150 | 8% |
| Student > Postgraduate | 88 | 5% |
| Other | 296 | 16% |
| Unknown | 495 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 389 | 22% |
| Nursing and Health Professions | 303 | 17% |
| Agricultural and Biological Sciences | 156 | 9% |
| Sports and Recreations | 114 | 6% |
| Biochemistry, Genetics and Molecular Biology | 93 | 5% |
| Other | 184 | 10% |
| Unknown | 562 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 305. 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 18 March 2024.
All research outputs
#114,383
of 25,837,817 outputs
Outputs from Clinical Nutrition
#35
of 3,754 outputs
Outputs of similar age
#872
of 245,588 outputs
Outputs of similar age from Clinical Nutrition
#1
of 36 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done particularly well, scoring higher than 98% 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 245,588 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 98% of its contemporaries.
We're also able to compare this research output to 36 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 97% of its contemporaries.