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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Importance of Reactive Agility and Change of Direction Speed in Differentiating Performance Levels in Junior Soccer Players: Reliability and Validity of Newly Developed Soccer-Specific Tests
|
|---|---|
| Published in |
Frontiers in Physiology, May 2018
|
| DOI | 10.3389/fphys.2018.00506 |
| Pubmed ID | |
| Authors |
Haris Pojskic, Erik Åslin, Ante Krolo, Ivan Jukic, Ognjen Uljevic, Miodrag Spasic, Damir Sekulic |
| Abstract |
Agility is a significant determinant of success in soccer; however, studies have rarely presented and evaluated soccer-specific tests of reactive agility (S_RAG) and non-reactive agility (change of direction speed - S_CODS) or their applicability in this sport. The aim of this study was to define the reliability and validity of newly developed tests of the S_RAG and S_CODS to discriminate between the performance levels of junior soccer players. The study consisted of 20 players who were involved at the highest national competitive rank (all males; age: 17.0 ± 0.9 years), divided into three playing positions (defenders, midfielders, and forwards) and two performance levels (U17 and U19). Variables included body mass (BM), body height, body fat percentage, 20-m sprint, squat jump, countermovement jump, reactive-strength-index, unilateral jump, 1RM-back-squat, S_CODS, and three protocols of S_RAG. The reliabilities of the S_RAG and S_CODS were appropriate to high (ICC: 0.70 to 0.92), with the strongest reliability evidenced for the S_CODS. The S_CODS and S_RAG shared 25-40% of the common variance. Playing positions significantly differed in BM (large effect-size differences [ES]; midfielders were lightest) and 1RM-back-squat (large ES; lowest results in midfielders). The performance levels significantly differed in age and experience in soccer; U19 achieved better results in the S_CODS (t-test: 3.61, p < 0.05, large ES) and two S_RAG protocols (t-test: 2.14 and 2.41, p < 0.05, moderate ES). Newly developed tests of soccer-specific agility are applicable to differentiate U17 and U19 players. Coaches who work with young soccer athletes should be informed that the development of soccer-specific CODS and RAG in this age is mostly dependent on training of the specific motor proficiency. |
X Demographics
The data shown below were collected from the profiles of 21 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 States | 3 | 14% |
| France | 2 | 10% |
| Switzerland | 1 | 5% |
| Mexico | 1 | 5% |
| Ecuador | 1 | 5% |
| Spain | 1 | 5% |
| Finland | 1 | 5% |
| Colombia | 1 | 5% |
| New Zealand | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 90% |
| Scientists | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 274 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 41 | 15% |
| Student > Master | 36 | 13% |
| Student > Ph. D. Student | 21 | 8% |
| Researcher | 16 | 6% |
| Professor | 13 | 5% |
| Other | 49 | 18% |
| Unknown | 98 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 113 | 41% |
| Nursing and Health Professions | 12 | 4% |
| Medicine and Dentistry | 7 | 3% |
| Unspecified | 6 | 2% |
| Psychology | 4 | 1% |
| Other | 20 | 7% |
| Unknown | 112 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 85. 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 20 April 2020.
All research outputs
#438,665
of 23,321,213 outputs
Outputs from Frontiers in Physiology
#227
of 14,050 outputs
Outputs of similar age
#10,898
of 327,704 outputs
Outputs of similar age from Frontiers in Physiology
#14
of 480 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,050 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 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 327,704 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 96% of its contemporaries.
We're also able to compare this research output to 480 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.