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Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

Overview of attention for article published in Nature Genetics, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
8 tweeters

Readers on

mendeley
18 Mendeley
Title
Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries
Published in
Nature Genetics, May 2019
DOI 10.1038/s41588-019-0438-3
Pubmed ID
Authors

Nick Shrine, Anna L. Guyatt, A. Mesut Erzurumluoglu, Victoria E. Jackson, Brian D. Hobbs, Carl A. Melbourne, Chiara Batini, Katherine A. Fawcett, Kijoung Song, Phuwanat Sakornsakolpat, Xingnan Li, Ruth Boxall, Nicola F. Reeve, Ma’en Obeidat, Jing Hua Zhao, Matthias Wielscher, Stefan Weiss, Katherine A. Kentistou, James P. Cook, Benjamin B. Sun, Jian Zhou, Jennie Hui, Stefan Karrasch, Medea Imboden, Sarah E Harris, Jonathan Marten, Stefan Enroth, Shona M. Kerr, Ida Surakka, Veronique Vitart, Terho Lehtimäki, Richard J. Allen, Per S. Bakke, Terri H. Beaty, Eugene R. Bleecker, Yohan Bossé, Corry-Anke Brandsma, Zhengming Chen, James D. Crapo, John Danesh, Dawn L. DeMeo, Frank Dudbridge, Ralf Ewert, Christian Gieger, Amund Gulsvik, Anna L. Hansell, Ke Hao, Joshua D. Hoffman, John E. Hokanson, Georg Homuth, Peter K. Joshi, Philippe Joubert, Claudia Langenberg, Xuan Li, Liming Li, Kuang Lin, Lars Lind, Nicholas Locantore, Jian’an Luan, Anubha Mahajan, Joseph C. Maranville, Alison Murray, David C. Nickle, Richard Packer, Margaret M. Parker, Megan L. Paynton, David J. Porteous, Dmitry Prokopenko, Dandi Qiao, Rajesh Rawal, Heiko Runz, Ian Sayers, Don D Sin, Blair H Smith, María Soler Artigas, David Sparrow, Ruth Tal-Singer, Paul R. H. J. Timmers, Maarten Van den Berge, John C. Whittaker, Prescott G. Woodruff, Laura M. Yerges-Armstrong, Olga G. Troyanskaya, Olli T. Raitakari, Mika Kähönen, Ozren Polašek, Ulf Gyllensten, Igor Rudan, Ian J. Deary, Nicole M. Probst-Hensch, Holger Schulz, Alan L James, James F. Wilson, Beate Stubbe, Eleftheria Zeggini, Marjo-Riitta Jarvelin, Nick Wareham, Edwin K. Silverman, Caroline Hayward, Andrew P. Morris, Adam S. Butterworth, Robert A. Scott, Robin G. Walters, Deborah A. Meyers, Michael H. Cho, David P. Strachan, Ian P. Hall, Martin D. Tobin, Louise V. Wain

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 33%
Researcher 5 28%
Professor 3 17%
Student > Doctoral Student 2 11%
Student > Bachelor 1 6%
Other 1 6%
Readers by discipline Count As %
Unspecified 7 39%
Medicine and Dentistry 6 33%
Biochemistry, Genetics and Molecular Biology 3 17%
Agricultural and Biological Sciences 1 6%
Neuroscience 1 6%
Other 0 0%

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 28 May 2019.
All research outputs
#7,171,231
of 13,910,193 outputs
Outputs from Nature Genetics
#5,563
of 6,248 outputs
Outputs of similar age
#109,572
of 257,961 outputs
Outputs of similar age from Nature Genetics
#55
of 72 outputs
Altmetric has tracked 13,910,193 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.6. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 257,961 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 56% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.