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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of Different Personal Protective Clothing on Wildland Firefighters' Physiological Strain
|
|---|---|
| Published in |
Frontiers in Physiology, August 2017
|
| DOI | 10.3389/fphys.2017.00618 |
| Pubmed ID | |
| Authors |
Belén Carballo-Leyenda, José G. Villa, Jorge López-Satué, Jose A. Rodríguez-Marroyo |
| Abstract |
Wildfire firefighting is an extremely demanding occupation performed under hot environment. The use of personal protective clothing (PPC) is needed to protect subjects from the thermal exposure. However, the additional use of PPC may increase the wildland firefighters' physiological strain, and consequently limit their performance. The aim of this study was to analyze the effect of four different PPC on the physiological strain of wildland firefighters under moderate conditions (30°C and 30% RH). Eight active and healthy wildland firefighters performed a submaximal walking test wearing a traditional short sports gear and 4 different PPC. The materials combination (viscose, Nomex, Kevlar, P-140 and fire resistant cotton) used during the PPC manufacturing process was different. During all tests, to simulate a real scenario subjects wore a backpack pump (20 kg). Heart rate, respiratory gas exchange, gastrointestinal temperature, blood lactate concentration, perceived exertion and temperature and humidity underneath the PPC were recorded throughout tests. Additionally, parameters of heat balance were estimated. Wearing a PPC did not cause a significant increase in the subjects' physiological response. The gastrointestinal temperature increment, the relative humidity of the microclimate underneath the PPC, the sweat residue in PPC, the sweat efficiency, the dry heat exchange and the total clothing insulation were significantly affected according to the PPC fabric composition. These results suggest that the PPC composition affect the moisture management. This might be taken into account to increase the wildland firefighters' protection in real situations, when they have to work close to the flames. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 13% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Professor | 5 | 8% |
| Other | 11 | 18% |
| Unknown | 19 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 11 | 18% |
| Engineering | 7 | 11% |
| Nursing and Health Professions | 3 | 5% |
| Social Sciences | 3 | 5% |
| Environmental Science | 3 | 5% |
| Other | 16 | 26% |
| Unknown | 18 | 30% |
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 27 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Frontiers in Physiology
#9,472
of 13,758 outputs
Outputs of similar age
#277,058
of 317,238 outputs
Outputs of similar age from Frontiers in Physiology
#209
of 287 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,758 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% 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 317,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.