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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of Workload and its Effects on Performance and Injury in Elite Cricket Fast Bowlers
|
|---|---|
| Published in |
Sports Medicine, July 2016
|
| DOI | 10.1007/s40279-016-0588-8 |
| Pubmed ID | |
| Authors |
Dean J. McNamara, Tim J. Gabbett, Geraldine Naughton |
| Abstract |
Cricket is distinctly positioned in the world of elite sports because three different formats now exist, each with characteristically different workload requirements. Fast bowlers have greater match-play workload requirements and are at greater injury risk than other positions. An update on the current cricket literature regarding fast bowling match-play physiology, workload, and injury is required to demonstrate the extent to which workload is related to performance and injury in elite fast bowlers since the introduction of 20-over cricket in 2005. The current review examined articles published in English with data collected from 2005 onwards pertaining to in situ cricket fast bowling physiology, match play, injury, and workload. Four databases were searched using the combinations of the following keywords: 'cricket' and 'bowl', inclusive of 'pace', 'fast', 'medium', or 'seam' bowling. Articles from 2005 onwards with male participants, high-performing or elite, and fast bowlers in the game of cricket were considered for inclusion. Only workload assessments captured in a field setting were included. A total of 751 articles were identified. Exclusions included 527 duplicates, papers pre-2005, review articles, and abstracts. A further 185 articles were excluded after review of titles and abstracts that were deemed to be outside the scope of research or population. The full texts of 39 articles were reviewed, with only 17 included in this systematic review. In five articles reviewed, fast bowlers had a greater workload than other player types. Bowling workload history was reviewed in seven articles and appeared to have a complex interaction with likelihood of injury and injury type. Fast bowling workload has a well recognised relationship with injury and performance. Although monitoring acute and chronic workloads of fast bowlers remains the most ideal method for identifying preparedness and injury likelihood in fast bowlers, complexities exist that make the systematic prescription of bowling workloads difficult. Advances in technology to monitor workloads may provide further insight into the intensity and workloads of fast bowlers. PROSPERO registration number: CRD42015032466. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 6 | 38% |
| United States | 2 | 13% |
| United Kingdom | 1 | 6% |
| Malaysia | 1 | 6% |
| South Africa | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Practitioners (doctors, other healthcare professionals) | 3 | 19% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | <1% |
| Unknown | 129 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 16% |
| Student > Ph. D. Student | 20 | 15% |
| Student > Master | 14 | 11% |
| Other | 7 | 5% |
| Lecturer | 7 | 5% |
| Other | 18 | 14% |
| Unknown | 43 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 45 | 35% |
| Medicine and Dentistry | 8 | 6% |
| Nursing and Health Professions | 6 | 5% |
| Agricultural and Biological Sciences | 5 | 4% |
| Engineering | 5 | 4% |
| Other | 13 | 10% |
| Unknown | 48 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 10 April 2018.
All research outputs
#2,900,645
of 25,658,139 outputs
Outputs from Sports Medicine
#1,643
of 2,893 outputs
Outputs of similar age
#51,171
of 378,158 outputs
Outputs of similar age from Sports Medicine
#31
of 47 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.1. This one is in the 43rd percentile – i.e., 43% 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 378,158 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 86% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.