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Pleiotropic genes for metabolic syndrome and inflammation

Overview of attention for article published in Molecular Genetics & Metabolism, May 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
facebook
1 Facebook page
googleplus
1 Google+ user
reddit
1 Redditor

Readers on

mendeley
215 Mendeley
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Article details
Title
Pleiotropic genes for metabolic syndrome and inflammation
Published in
Molecular Genetics & Metabolism, May 2014
DOI 10.1016/j.ymgme.2014.04.007
Pubmed ID
Authors

Aldi T. Kraja, Daniel I. Chasman, Kari E. North, Alexander P. Reiner, Lisa R. Yanek, Tuomas O. Kilpeläinen, Jennifer A. Smith, Abbas Dehghan, Josée Dupuis, Andrew D. Johnson, Mary F. Feitosa, Fasil Tekola-Ayele, Audrey Y. Chu, Ilja M. Nolte, Zari Dastani, Andrew Morris, Sarah A. Pendergrass, Yan V. Sun, Marylyn D. Ritchie, Ahmad Vaez, Honghuang Lin, Symen Ligthart, Letizia Marullo, Rebecca Rohde, Yaming Shao, Mark A. Ziegler, Hae Kyung Im, Cross Consortia Pleiotropy Group, the Cohorts for Heart and, Aging Research in Genetic Epidemiology, the Genetic Investigation of Anthropometric Traits Consortium, the Global Lipids Genetics Consortium, the Meta-Analyses of Glucose, Insulin-related traits Consortium, the Global BPgen Consortium, The ADIPOGen Consortium, the Women's Genome Health Study, the Howard University Family Study, Renate B. Schnabel, Torben Jørgensen, Marit E. Jørgensen, Torben Hansen, Oluf Pedersen, Ronald P. Stolk, Harold Snieder, Albert Hofman, Andre G. Uitterlinden, Oscar H. Franco, M. Arfan Ikram, J. Brent Richards, Charles Rotimi, James G. Wilson, Leslie Lange, Santhi K. Ganesh, Mike Nalls, Laura J. Rasmussen-Torvik, James S. Pankow, Josef Coresh, Weihong Tang, W.H. Linda Kao, Eric Boerwinkle, Alanna C. Morrison, Paul M. Ridker, Diane M. Becker, Jerome I. Rotter, Sharon L.R. Kardia, Ruth J.F. Loos, Martin G. Larson, Yi-Hsiang Hsu, Michael A. Province, Russell Tracy, Benjamin F. Voight, Dhananjay Vaidya, Christopher J. O'Donnell, Emelia J. Benjamin, Behrooz Z. Alizadeh, Inga Prokopenko, James B. Meigs, Ingrid B. Borecki

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Netherlands 2 <1%
Russia 1 <1%
New Zealand 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 206 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 49 23%
Researcher 32 15%
Student > Bachelor 19 9%
Student > Master 18 8%
Other 12 6%
Other 53 25%
Unknown 32 15%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 46 21%
Agricultural and Biological Sciences 39 18%
Biochemistry, Genetics and Molecular Biology 38 18%
Computer Science 8 4%
Nursing and Health Professions 7 3%
Other 31 14%
Unknown 46 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 September 2016.
All research outputs
#11,542,932
of 34,545,128 outputs
Outputs from Molecular Genetics & Metabolism
#1,178
of 2,797 outputs
Outputs of similar age
#93,667
of 275,778 outputs
Outputs of similar age from Molecular Genetics & Metabolism
#11
of 21 outputs
Altmetric has tracked 34,545,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 2,797 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 56% 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 275,778 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.