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Mendelian randomization of blood lipids for coronary heart disease

Overview of attention for article published in European Heart Journal, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
16 news outlets
twitter
18 X users
patent
1 patent
facebook
1 Facebook page
video
1 YouTube creator

Citations

dimensions_citation
606 Dimensions

Readers on

mendeley
419 Mendeley
citeulike
1 CiteULike
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Title
Mendelian randomization of blood lipids for coronary heart disease
Published in
European Heart Journal, January 2014
DOI 10.1093/eurheartj/eht571
Pubmed ID
Authors

Michael V. Holmes, Folkert W. Asselbergs, Tom M. Palmer, Fotios Drenos, Matthew B. Lanktree, Christopher P. Nelson, Caroline E. Dale, Sandosh Padmanabhan, Chris Finan, Daniel I. Swerdlow, Vinicius Tragante, Erik P.A. van Iperen, Suthesh Sivapalaratnam, Sonia Shah, Clara C. Elbers, Tina Shah, Jorgen Engmann, Claudia Giambartolomei, Jon White, Delilah Zabaneh, Reecha Sofat, Stela McLachlan, Pieter A. Doevendans, Anthony J. Balmforth, Alistair S. Hall, Kari E. North, Berta Almoguera, Ron C. Hoogeveen, Mary Cushman, Myriam Fornage, Sanjay R. Patel, Susan Redline, David S. Siscovick, Michael Y. Tsai, Konrad J. Karczewski, Marten H. Hofker, W. Monique Verschuren, Michiel L. Bots, Yvonne T. van der Schouw, Olle Melander, Anna F. Dominiczak, Richard Morris, Yoav Ben-Shlomo, Jackie Price, Meena Kumari, Jens Baumert, Annette Peters, Barbara Thorand, Wolfgang Koenig, Tom R. Gaunt, Steve E. Humphries, Robert Clarke, Hugh Watkins, Martin Farrall, James G. Wilson, Stephen S. Rich, Paul I.W. de Bakker, Leslie A. Lange, George Davey Smith, Alex P. Reiner, Philippa J. Talmud, Mika Kivimäki, Debbie A. Lawlor, Frank Dudbridge, Nilesh J. Samani, Brendan J. Keating, Aroon D. Hingorani, Juan P. Casas

Abstract

To investigate the causal role of high-density lipoprotein cholesterol (HDL-C) and triglycerides in coronary heart disease (CHD) using multiple instrumental variables for Mendelian randomization.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 419 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 1%
Finland 1 <1%
France 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 410 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 81 19%
Student > Ph. D. Student 80 19%
Student > Bachelor 33 8%
Student > Master 26 6%
Other 19 5%
Other 76 18%
Unknown 104 25%
Readers by discipline Count As %
Medicine and Dentistry 130 31%
Biochemistry, Genetics and Molecular Biology 51 12%
Agricultural and Biological Sciences 47 11%
Nursing and Health Professions 9 2%
Computer Science 9 2%
Other 50 12%
Unknown 123 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 116. 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 21 April 2023.
All research outputs
#366,626
of 26,017,215 outputs
Outputs from European Heart Journal
#619
of 11,318 outputs
Outputs of similar age
#3,441
of 328,832 outputs
Outputs of similar age from European Heart Journal
#9
of 129 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.5. 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 328,832 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 98% of its contemporaries.
We're also able to compare this research output to 129 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 93% of its contemporaries.