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Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function

Overview of attention for article published in PLoS ONE, July 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
9 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
98 Mendeley
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Title
Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function
Published in
PLoS ONE, July 2014
DOI 10.1371/journal.pone.0100776
Pubmed ID
Authors

Wenbo Tang, Matthew Kowgier, Daan W. Loth, María Soler Artigas, Bonnie R. Joubert, Emily Hodge, Sina A. Gharib, Albert V. Smith, Ingo Ruczinski, Vilmundur Gudnason, Rasika A. Mathias, Tamara B. Harris, Nadia N. Hansel, Lenore J. Launer, Kathleen C. Barnes, Joyanna G. Hansen, Eva Albrecht, Melinda C. Aldrich, Michael Allerhand, R. Graham Barr, Guy G. Brusselle, David J. Couper, Ivan Curjuric, Gail Davies, Ian J. Deary, Josée Dupuis, Tove Fall, Millennia Foy, Nora Franceschini, Wei Gao, Sven Gläser, Xiangjun Gu, Dana B. Hancock, Joachim Heinrich, Albert Hofman, Medea Imboden, Erik Ingelsson, Alan James, Stefan Karrasch, Beate Koch, Stephen B. Kritchevsky, Ashish Kumar, Lies Lahousse, Guo Li, Lars Lind, Cecilia Lindgren, Yongmei Liu, Kurt Lohman, Thomas Lumley, Wendy L. McArdle, Bernd Meibohm, Andrew P. Morris, Alanna C. Morrison, Bill Musk, Kari E. North, Lyle J. Palmer, Nicole M. Probst-Hensch, Bruce M. Psaty, Fernando Rivadeneira, Jerome I. Rotter, Holger Schulz, Lewis J. Smith, Akshay Sood, John M. Starr, David P. Strachan, Alexander Teumer, André G. Uitterlinden, Henry Völzke, Arend Voorman, Louise V. Wain, Martin T. Wells, Jemma B. Wilk, O. Dale Williams, Susan R. Heckbert, Bruno H. Stricker, Stephanie J. London, Myriam Fornage, Martin D. Tobin, George T. O′Connor, Ian P. Hall, Patricia A. Cassano

Abstract

Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Portugal 1 1%
Unknown 96 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 16 16%
Student > Master 13 13%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Other 19 19%
Unknown 11 11%
Readers by discipline Count As %
Medicine and Dentistry 22 22%
Biochemistry, Genetics and Molecular Biology 13 13%
Agricultural and Biological Sciences 11 11%
Nursing and Health Professions 7 7%
Psychology 5 5%
Other 18 18%
Unknown 22 22%

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 08 November 2015.
All research outputs
#3,804,155
of 14,342,672 outputs
Outputs from PLoS ONE
#46,673
of 148,890 outputs
Outputs of similar age
#45,636
of 188,810 outputs
Outputs of similar age from PLoS ONE
#948
of 2,847 outputs
Altmetric has tracked 14,342,672 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 148,890 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 67% 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 188,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 2,847 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 66% of its contemporaries.