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Mendeley readers
Attention Score in Context
| Title |
No association between ACTN3 R577X and ACE I/D polymorphisms and endurance running times in 698 Caucasian athletes
|
|---|---|
| Published in |
BMC Genomics, January 2018
|
| DOI | 10.1186/s12864-017-4412-0 |
| Pubmed ID | |
| Authors |
Ioannis D. Papadimitriou, Sarah J. Lockey, Sarah Voisin, Adam J. Herbert, Fleur Garton, Peter J. Houweling, Pawel Cieszczyk, Agnieszka Maciejewska-Skrendo, Marek Sawczuk, Myosotis Massidda, Carla Maria Calò, Irina V. Astratenkova, Anastasia Kouvatsi, Anastasiya M. Druzhevskaya, Macsue Jacques, Ildus I. Ahmetov, Georgina K. Stebbings, Shane Heffernan, Stephen H. Day, Robert Erskine, Charles Pedlar, Courtney Kipps, Kathryn N. North, Alun G. Williams, Nir Eynon |
| Abstract |
Studies investigating associations between ACTN3 R577X and ACE I/D genotypes and endurance athletic status have been limited by small sample sizes from mixed sport disciplines and lack quantitative measures of performance. To examine the association between ACTN3 R577X and ACE I/D genotypes and best personal running times in a large homogeneous cohort of endurance runners. We collected a total of 1064 personal best 1500, 3000, 5000 m and marathon running times of 698 male and female Caucasian endurance athletes from six countries (Australia, Greece, Italy, Poland, Russia and UK). Athletes were genotyped for ACTN3 R577X and ACE ID variants. There was no association between ACTN3 R577X or ACE I/D genotype and running performance at any distance in men or women. Mean (SD) marathon times (in s) were for men: ACTN3 RR 9149 (593), RX 9221 (582), XX 9129 (582) p = 0.94; ACE DD 9182 (665), ID 9214 (549), II 9155 (492) p = 0.85; for women: ACTN3 RR 10796 (818), RX 10667 (695), XX 10675 (553) p = 0.36; ACE DD 10604 (561), ID 10766 (740), II 10771 (708) p = 0.21. Furthermore, there were no associations between these variants and running time for any distance in a sub-analysis of athletes with personal records within 20% of world records. Thus, consistent with most case-control studies, this multi-cohort quantitative analysis demonstrates it is unlikely that ACTN3 XX genotype provides an advantage in competitive endurance running performance. For ACE II genotype, some prior studies show an association but others do not. Our data indicate it is also unlikely that ACE II genotype provides an advantage in endurance running. |
X Demographics
The data shown below were collected from the profiles of 30 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 | 14 | 47% |
| United States | 2 | 7% |
| Chile | 1 | 3% |
| Australia | 1 | 3% |
| Canada | 1 | 3% |
| Japan | 1 | 3% |
| France | 1 | 3% |
| Unknown | 9 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 57% |
| Scientists | 13 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 15% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 10 | 8% |
| Researcher | 7 | 6% |
| Lecturer | 6 | 5% |
| Other | 32 | 26% |
| Unknown | 39 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 33 | 27% |
| Medicine and Dentistry | 17 | 14% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Agricultural and Biological Sciences | 8 | 6% |
| Nursing and Health Professions | 3 | 2% |
| Other | 16 | 13% |
| Unknown | 38 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 06 February 2018.
All research outputs
#2,036,718
of 25,595,500 outputs
Outputs from BMC Genomics
#462
of 11,288 outputs
Outputs of similar age
#45,126
of 451,671 outputs
Outputs of similar age from BMC Genomics
#12
of 221 outputs
Altmetric has tracked 25,595,500 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 11,288 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 451,671 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 90% of its contemporaries.
We're also able to compare this research output to 221 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 95% of its contemporaries.