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Attention Score in Context
| Title |
ACTN3 R577X and ACE I/D gene variants influence performance in elite sprinters: a multi-cohort study
|
|---|---|
| Published in |
BMC Genomics, April 2016
|
| DOI | 10.1186/s12864-016-2462-3 |
| Pubmed ID | |
| Authors |
Ioannis D. Papadimitriou, Alejandro Lucia, Yannis P. Pitsiladis, Vladimir P. Pushkarev, Dmitry A. Dyatlov, Evgeniy F. Orekhov, Guilherme G. Artioli, João Paulo L. F. Guilherme, Antonio H. Lancha, Valentina Ginevičienė, Pawel Cieszczyk, Agnieszka Maciejewska-Karlowska, Marek Sawczuk, Carlos A. Muniesa, Anastasia Kouvatsi, Myosotis Massidda, Carla Maria Calò, Fleur Garton, Peter J. Houweling, Guan Wang, Krista Austin, Anastasiya M. Druzhevskaya, Irina V. Astratenkova, Ildus I. Ahmetov, David J. Bishop, Kathryn N. North, Nir Eynon |
| Abstract |
To date, studies investigating the association between ACTN3 R577X and ACE I/D gene variants and elite sprint/power performance have been limited by small cohorts from mixed sport disciplines, without quantitative measures of performance. To examine the association between these variants and sprint time in elite athletes. We collected a total of 555 best personal 100-, 200-, and 400-m times of 346 elite sprinters in a large cohort of elite Caucasian or African origin sprinters from 10 different countries. Sprinters were genotyped for ACTN3 R577X and ACE ID variants. On average, male Caucasian sprinters with the ACTN3 577RR or the ACE DD genotype had faster best 200-m sprint time than their 577XX (21.19 ± 0.53 s vs. 21.86 ± 0.54 s, p = 0.016) and ACE II (21.33 ± 0.56 vs. 21.93 ± 0.67 sec, p = 0.004) counterparts and only one case of ACE II, and no cases of ACTN3 577XX, had a faster 200-m time than the 2012 London Olympics qualifying (vs. 12 qualified sprinters with 577RR or 577RX genotype). Caucasian sprinters with the ACE DD genotype had faster best 400-m sprint time than their ACE II counterparts (46.94 ± 1.19 s vs. 48.50 ± 1.07 s, p = 0.003). Using genetic models we found that the ACTN3 577R allele and ACE D allele dominant model account for 0.92 % and 1.48 % of sprint time variance, respectively. Despite sprint performance relying on many gene variants and environment, the % sprint time variance explained by ACE and ACTN3 is substantial at the elite level and might be the difference between a world record and only making the final. |
X Demographics
The data shown below were collected from the profiles of 43 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 Kingdom | 7 | 16% |
| United States | 7 | 16% |
| Australia | 2 | 5% |
| Denmark | 1 | 2% |
| Japan | 1 | 2% |
| Canada | 1 | 2% |
| Ireland | 1 | 2% |
| Italy | 1 | 2% |
| Austria | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 19 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 65% |
| Scientists | 13 | 30% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Turkey | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 266 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 43 | 16% |
| Student > Master | 40 | 15% |
| Student > Ph. D. Student | 27 | 10% |
| Researcher | 23 | 9% |
| Student > Doctoral Student | 17 | 6% |
| Other | 49 | 18% |
| Unknown | 70 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 71 | 26% |
| Biochemistry, Genetics and Molecular Biology | 36 | 13% |
| Agricultural and Biological Sciences | 26 | 10% |
| Medicine and Dentistry | 19 | 7% |
| Nursing and Health Professions | 11 | 4% |
| Other | 28 | 10% |
| Unknown | 78 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 04 July 2023.
All research outputs
#441,589
of 25,081,505 outputs
Outputs from BMC Genomics
#36
of 11,154 outputs
Outputs of similar age
#8,138
of 307,009 outputs
Outputs of similar age from BMC Genomics
#3
of 247 outputs
Altmetric has tracked 25,081,505 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 11,154 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 307,009 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 97% of its contemporaries.
We're also able to compare this research output to 247 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 99% of its contemporaries.