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Human conditions of insulin-like growth factor-I (IGF-I) deficiency

Overview of attention for article published in Journal of Translational Medicine, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 tweeters
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
162 Dimensions

Readers on

mendeley
355 Mendeley
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Title
Human conditions of insulin-like growth factor-I (IGF-I) deficiency
Published in
Journal of Translational Medicine, November 2012
DOI 10.1186/1479-5876-10-224
Pubmed ID
Authors

Juan E Puche, Inma Castilla-Cortázar

Abstract

Insulin-like growth factor I (IGF-I) is a polypeptide hormone produced mainly by the liver in response to the endocrine GH stimulus, but it is also secreted by multiple tissues for autocrine/paracrine purposes. IGF-I is partly responsible for systemic GH activities although it possesses a wide number of own properties (anabolic, antioxidant, anti-inflammatory and cytoprotective actions). IGF-I is a closely regulated hormone. Consequently, its logical therapeutical applications seems to be limited to restore physiological circulating levels in order to recover the clinical consequences of IGF-I deficiency, conditions where, despite continuous discrepancies, IGF-I treatment has never been related to oncogenesis. Currently the best characterized conditions of IGF-I deficiency are Laron Syndrome, in children; liver cirrhosis, in adults; aging including age-related-cardiovascular and neurological diseases; and more recently, intrauterine growth restriction. The aim of this review is to summarize the increasing list of roles of IGF-I, both in physiological and pathological conditions, underlying that its potential therapeutical options seem to be limited to those proven states of local or systemic IGF-I deficiency as a replacement treatment, rather than increasing its level upper the normal range.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 355 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Mexico 2 <1%
United Kingdom 1 <1%
Japan 1 <1%
Austria 1 <1%
Unknown 347 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 57 16%
Student > Master 56 16%
Student > Ph. D. Student 54 15%
Researcher 39 11%
Student > Doctoral Student 23 6%
Other 72 20%
Unknown 54 15%
Readers by discipline Count As %
Medicine and Dentistry 113 32%
Agricultural and Biological Sciences 58 16%
Biochemistry, Genetics and Molecular Biology 50 14%
Neuroscience 14 4%
Nursing and Health Professions 12 3%
Other 47 13%
Unknown 61 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 11 June 2020.
All research outputs
#1,261,109
of 18,911,518 outputs
Outputs from Journal of Translational Medicine
#202
of 3,382 outputs
Outputs of similar age
#15,789
of 273,310 outputs
Outputs of similar age from Journal of Translational Medicine
#10
of 243 outputs
Altmetric has tracked 18,911,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,382 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done particularly well, scoring higher than 94% 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 273,310 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 94% of its contemporaries.
We're also able to compare this research output to 243 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 96% of its contemporaries.