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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Influence of Inspiratory Muscle Training on Ventilatory Efficiency and Cycling Performance in Normoxia and Hypoxia
|
|---|---|
| Published in |
Frontiers in Physiology, March 2017
|
| DOI | 10.3389/fphys.2017.00133 |
| Pubmed ID | |
| Authors |
Eduardo Salazar-Martínez, Hannes Gatterer, Martin Burtscher, José Naranjo Orellana, Alfredo Santalla |
| Abstract |
The aim of this study was to analyse the influence of inspiratory muscle training (IMT) on ventilatory efficiency, in normoxia and hypoxia, and to investigate the relationship between ventilatory efficiency and cycling performance. Sixteen sport students (23.05 ± 4.7 years; 175.11 ± 7.1 cm; 67.0 ± 19.4 kg; 46.4 ± 8.7 ml·kg(-1)·min(-1)) were randomly assigned to an inspiratory muscle training group (IMTG) and a control group (CG). The IMTG performed two training sessions/day [30 inspiratory breaths, 50% peak inspiratory pressure (Pimax), 5 days/week, 6-weeks]. Before and after the training period subjects carried out an incremental exercise test to exhaustion with gas analysis, lung function testing, and a cycling time trial test in hypoxia and normoxia. Simulated hypoxia (FiO2 = 16.45%), significantly altered the ventilatory efficiency response in all subjects (p < 0.05). Pimax increased significantly in the IMTG whereas no changes occurred in the CG (time × group, p < 0.05). Within group analyses showed that the IMTG improved ventilatory efficiency (VE/VCO2 slope; EqCO2VT2) in hypoxia (p < 0.05) and cycling time trial performance [WTTmax (W); WTTmean (W); PTF(W)] (p < 0.05) in hypoxia and normoxia. Significant correlations were not found in hypoxia nor normoxia found between ventilatory efficiency parameters (VE/VCO2 slope; LEqCO2; EqCO2VT2) and time trial performance. On the contrary the oxygen uptake efficiency slope (OUES) was highly correlated with cycling time trial performance (r = 0.89; r = 0.82; p < 0.001) under both conditions. Even though no interaction effect was found, the within group analysis may suggest that IMT reduces the negative effects of hypoxia on ventilatory efficiency. In addition, the data suggest that OUES plays an important role in submaximal cycling performance. |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 17% |
| Belgium | 4 | 14% |
| Netherlands | 2 | 7% |
| South Africa | 1 | 3% |
| United Kingdom | 1 | 3% |
| Switzerland | 1 | 3% |
| Ireland | 1 | 3% |
| Slovenia | 1 | 3% |
| Germany | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 66% |
| Scientists | 9 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 103 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 13% |
| Student > Bachelor | 13 | 13% |
| Student > Ph. D. Student | 12 | 12% |
| Researcher | 8 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 24 | 23% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 30 | 29% |
| Nursing and Health Professions | 18 | 17% |
| Medicine and Dentistry | 15 | 14% |
| Psychology | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 30 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 14 September 2017.
All research outputs
#1,616,100
of 22,958,253 outputs
Outputs from Frontiers in Physiology
#874
of 13,712 outputs
Outputs of similar age
#34,037
of 308,016 outputs
Outputs of similar age from Frontiers in Physiology
#22
of 224 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,712 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 93% 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 308,016 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 88% of its contemporaries.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.