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A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood

Overview of attention for article published in Frontiers in Genetics, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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5 X users

Citations

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30 Dimensions

Readers on

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60 Mendeley
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Title
A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood
Published in
Frontiers in Genetics, March 2018
DOI 10.3389/fgene.2018.00097
Pubmed ID
Authors

Jiyang Jiang, Anbupalam Thalamuthu, Jennifer E. Ho, Anubha Mahajan, Weronica E. Ek, David A. Brown, Samuel N. Breit, Thomas J. Wang, Ulf Gyllensten, Ming-Huei Chen, Stefan Enroth, James L. Januzzi, Lars Lind, Nicola J. Armstrong, John B. Kwok, Peter R. Schofield, Wei Wen, Julian N. Trollor, Åsa Johansson, Andrew P. Morris, Ramachandran S. Vasan, Perminder S. Sachdev, Karen A. Mather

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Master 8 13%
Student > Bachelor 7 12%
Student > Ph. D. Student 4 7%
Student > Postgraduate 4 7%
Other 9 15%
Unknown 17 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 20%
Medicine and Dentistry 11 18%
Neuroscience 4 7%
Agricultural and Biological Sciences 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 12%
Unknown 21 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 April 2018.
All research outputs
#15,258,829
of 25,998,826 outputs
Outputs from Frontiers in Genetics
#3,305
of 13,785 outputs
Outputs of similar age
#180,492
of 350,579 outputs
Outputs of similar age from Frontiers in Genetics
#60
of 139 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,785 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 74% 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 350,579 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.