↓ Skip to main content

Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease

Overview of attention for article published in New England Journal of Medicine, March 2016
Altmetric Badge

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 (99th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Citations

dimensions_citation
430 Dimensions

Readers on

mendeley
263 Mendeley
citeulike
4 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease
Published in
New England Journal of Medicine, March 2016
DOI 10.1056/nejmoa1507652
Pubmed ID
Authors

Nathan O Stitziel, Kathleen E Stirrups, Nicholas G D Masca, Jeanette Erdmann, Paola G Ferrario, Inke R König, Peter E Weeke, Thomas R Webb, Paul L Auer, Ursula M Schick, Yingchang Lu, He Zhang, Marie-Pierre Dube, Anuj Goel, Martin Farrall, Gina M Peloso, Hong-Hee Won, Ron Do, Erik van Iperen, Stavroula Kanoni, Jochen Kruppa, Anubha Mahajan, Robert A Scott, Christina Willenberg, Peter S Braund, Julian C van Capelleveen, Alex S F Doney, Louise A Donnelly, Rosanna Asselta, Piera A Merlini, Stefano Duga, Nicola Marziliano, Josh C Denny, Christian M Shaffer, Nour Eddine El-Mokhtari, Andre Franke, Omri Gottesman, Stefanie Heilmann, Christian Hengstenberg, Per Hoffman, Oddgeir L Holmen, Kristian Hveem, Jan-Håkan Jansson, Karl-Heinz Jöckel, Thorsten Kessler, Jennifer Kriebel, Karl L Laugwitz, Eirini Marouli, Nicola Martinelli, Mark I McCarthy, Natalie R Van Zuydam, Christa Meisinger, Tõnu Esko, Evelin Mihailov, Stefan A Escher, Maris Alver, Susanne Moebus, Andrew D Morris, Martina Müller-Nurasyid, Majid Nikpay, Oliviero Olivieri, Louis-Philippe Lemieux Perreault, Alaa AlQarawi, Neil R Robertson, Karen O Akinsanya, Dermot F Reilly, Thomas F Vogt, Wu Yin, Folkert W Asselbergs, Charles Kooperberg, Rebecca D Jackson, Eli Stahl, Konstantin Strauch, Tibor V Varga, Melanie Waldenberger, Lingyao Zeng, Aldi T Kraja, Chunyu Liu, George B Ehret, Christopher Newton-Cheh, Daniel I Chasman, Rajiv Chowdhury, Marco Ferrario, Ian Ford, J Wouter Jukema, Frank Kee, Kari Kuulasmaa, Børge G Nordestgaard, Markus Perola, Danish Saleheen, Naveed Sattar, Praveen Surendran, David Tregouet, Robin Young, Joanna M M Howson, Adam S Butterworth, John Danesh, Diego Ardissino, Erwin P Bottinger, Raimund Erbel, Paul W Franks, Domenico Girelli, Alistair S Hall, G Kees Hovingh, Adnan Kastrati, Wolfgang Lieb, Thomas Meitinger, William E Kraus, Svati H Shah, Ruth McPherson, Marju Orho-Melander, Olle Melander, Andres Metspalu, Colin N A Palmer, Annette Peters, Daniel Rader, Muredach P Reilly, Ruth J F Loos, Alex P Reiner, Dan M Roden, Jean-Claude Tardif, John R Thompson, Nicholas J Wareham, Hugh Watkins, Cristen J Willer, Sekkar Kathiresan, Panos Deloukas, Nilesh J Samani, Heribert Schunkert

X Demographics

X Demographics

The data shown below were collected from the profiles of 183 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Ireland 1 <1%
Kenya 1 <1%
Unknown 254 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 20%
Student > Ph. D. Student 42 16%
Other 25 10%
Professor 21 8%
Student > Bachelor 18 7%
Other 59 22%
Unknown 45 17%
Readers by discipline Count As %
Medicine and Dentistry 78 30%
Biochemistry, Genetics and Molecular Biology 58 22%
Agricultural and Biological Sciences 42 16%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Computer Science 5 2%
Other 14 5%
Unknown 61 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 293. 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 08 October 2023.
All research outputs
#121,039
of 26,017,215 outputs
Outputs from New England Journal of Medicine
#2,859
of 32,765 outputs
Outputs of similar age
#2,121
of 316,584 outputs
Outputs of similar age from New England Journal of Medicine
#76
of 375 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 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 122.4. This one has done particularly well, scoring higher than 91% 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 316,584 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 99% of its contemporaries.
We're also able to compare this research output to 375 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.