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Insulin-like growth factor-I (IGF-I) misuse in athletes and potential methods for detection

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2013
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Title
Insulin-like growth factor-I (IGF-I) misuse in athletes and potential methods for detection
Published in
Analytical & Bioanalytical Chemistry, August 2013
DOI 10.1007/s00216-013-7229-y
Pubmed ID
Authors

Nishan Guha, David A. Cowan, Peter H. Sönksen, Richard I. G. Holt

Abstract

To athletes, insulin-like growth factor-I (IGF-I) is an attractive performance-enhancing drug, particularly as an alternative to growth hormone (GH) because IGF-I mediates many of the anabolic actions of GH. IGF-I has beneficial effects on muscle protein synthesis and glycogen storage that could enhance performance in several sporting disciplines. Recombinant human IGF-I (rhIGF-I) is used in clinical practice, but a variety of IGF-I compounds and IGF-I analogues are also advertised on the internet and many have been available on the black market for several years. Although methods for detecting GH misuse are now well established and there have been several cases in which athletes have tested positive for GH, no test is yet in place for detecting IGF-I misuse. The GH-2004 research group has been investigating methods for detection of IGF-I misuse and a test is being developed on the basis of the principles of the successful GH-2000 marker method, in which markers from the IGF axis and markers of collagen and bone turnover are used to detect GH misuse. Commercial immunoassays for these markers have been validated for anti-doping purposes but new methods, including IGF-I measurement by use of mass spectrometry, should improve the performance of the tests and help in the detection of athletes who are doping with these peptide hormones.

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Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Bachelor 7 14%
Lecturer 4 8%
Student > Postgraduate 4 8%
Other 3 6%
Other 11 22%
Unknown 14 28%
Readers by discipline Count As %
Medicine and Dentistry 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 5 10%
Biochemistry, Genetics and Molecular Biology 3 6%
Nursing and Health Professions 3 6%
Chemistry 3 6%
Other 8 16%
Unknown 21 42%
Attention Score in Context

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 17 September 2013.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,669
of 9,619 outputs
Outputs of similar age
#132,123
of 209,465 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#43
of 73 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 37th percentile – i.e., 37% 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 209,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.