| Title |
The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity
|
|---|---|
| Published in |
Clinical Interventions in Aging, December 2012
|
| DOI | 10.2147/cia.s38488 |
| Pubmed ID | |
| Authors |
Elisabetta Marini, Roberto Buffa, Bruno Saragat, Alessandra Coin, Elena Debora Toffanello, Linda Berton, Enzo Manzato, Giuseppe Sergi |
| Abstract |
The aim of this paper is to investigate whether bioelectrical impedance vector analysis (BIVA) can be a suitable technique for the assessment of sarcopenia. We also investigate the potential use of specific BIVA as an indicator of sarcopenic obesity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| Portugal | 1 | <1% |
| Belgium | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 153 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 16% |
| Student > Bachelor | 19 | 12% |
| Student > Ph. D. Student | 13 | 8% |
| Researcher | 12 | 8% |
| Student > Postgraduate | 12 | 8% |
| Other | 34 | 21% |
| Unknown | 43 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 28% |
| Nursing and Health Professions | 18 | 11% |
| Sports and Recreations | 13 | 8% |
| Agricultural and Biological Sciences | 9 | 6% |
| Social Sciences | 5 | 3% |
| Other | 15 | 9% |
| Unknown | 54 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 25 June 2019.
All research outputs
#5,340,716
of 25,584,565 outputs
Outputs from Clinical Interventions in Aging
#548
of 1,962 outputs
Outputs of similar age
#49,971
of 286,730 outputs
Outputs of similar age from Clinical Interventions in Aging
#8
of 28 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,962 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 71% 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 286,730 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 82% of its contemporaries.
We're also able to compare this research output to 28 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.