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The Relationship between Serum Insulin-Like Growth Factor I Levels and Ischemic Stroke Risk

Overview of attention for article published in PLOS ONE, April 2014
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
18 Mendeley
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Title
The Relationship between Serum Insulin-Like Growth Factor I Levels and Ischemic Stroke Risk
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094845
Pubmed ID
Authors

Xiang Dong, Geng Chang, Xiao-Fei Ji, Ding-Bo Tao, Ying-Xin Wang

Abstract

The aim of the study was to assess the relationship between insulin-like growth factor I (IGF-I) serum levels and acute ischemic stroke (AIS) in a Chinese population.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 11%
Researcher 2 11%
Lecturer > Senior Lecturer 1 6%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 6 33%
Unknown 5 28%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 2 11%
Veterinary Science and Veterinary Medicine 1 6%
Psychology 1 6%
Other 3 17%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 March 2022.
All research outputs
#2,804,321
of 23,458,084 outputs
Outputs from PLOS ONE
#35,657
of 200,780 outputs
Outputs of similar age
#28,800
of 228,509 outputs
Outputs of similar age from PLOS ONE
#927
of 5,275 outputs
Altmetric has tracked 23,458,084 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 200,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 81% 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 228,509 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 87% of its contemporaries.
We're also able to compare this research output to 5,275 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.