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Machine Learning Characterization of COPD Subtypes Insights From the COPDGene Study

Overview of attention for article published in CHEST, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
twitter
13 X users
facebook
1 Facebook page

Readers on

mendeley
122 Mendeley
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Article details
Title
Machine Learning Characterization of COPD Subtypes Insights From the COPDGene Study
Published in
CHEST, December 2019
DOI 10.1016/j.chest.2019.11.039
Pubmed ID
Authors

Peter J. Castaldi, Adel Boueiz, Jeong Yun, Raul San Jose Estepar, James C. Ross, George Washko, Michael H. Cho, Craig P. Hersh, Gregory L. Kinney, Kendra A. Young, Elizabeth A. Regan, David A. Lynch, Gerald J. Criner, Jennifer G. Dy, Stephen I. Rennard, Richard Casaburi, Barry J. Make, James Crapo, Edwin K. Silverman, John E. Hokanson, James D. Crapo, Edwin K. Silverman, Barry J. Make, Elizabeth A. Regan, Terri Beaty, Ferdouse Begum, Peter J. Castaldi, Michael Cho, Dawn L. DeMeo, Adel R. Boueiz, Marilyn G. Foreman, Eitan Halper-Stromberg, Lystra P. Hayden, Craig P. Hersh, Jacqueline Hetmanski, Brian D. Hobbs, John E. Hokanson, Nan Laird, Christoph Lange, Sharon M. Lutz, Merry-Lynn McDonald, Margaret M. Parker, Dmitry Prokopenko, Dandi Qiao, Elizabeth Regan, Phuwanat Sakornsakolpat, Edwin K. Silverman, Emily S. Wan, Sungho Won, Juan Pablo Centeno, Jean-Paul Charbonnier, Harvey O. Coxson, Craig J. Galban, MeiLan K. Han, Eric A. Hoffman, Stephen Humphries, Francine L. Jacobson, Philip F. Judy, Ella A. Kazerooni, Alex Kluiber, David A. Lynch, Pietro Nardelli, John D. Newell, Aleena Notary, Andrea Oh, Elizabeth A. Regan, James C. Ross, Raul San Jose Estepar, Joyce Schroeder, Jered Sieren, Berend C. Stoel, Juerg Tschirren, Edwin Van Beek, Bram van Ginneken, Eva van Rikxoort, Gonzalo Vegas Sanchez-Ferrero, Lucas Veitel, George R. Washko, Carla G. Wilson, Robert Jensen, Douglas Everett, Jim Crooks, Katherine Pratte, Matt Strand, Carla G. Wilson, John E. Hokanson, Gregory Kinney, Sharon M. Lutz, Kendra A. Young, Surya P. Bhatt, Jessica Bon, Alejandro A. Diaz, MeiLan K. Han, Barry Make, Susan Murray, Elizabeth Regan, Xavier Soler, Carla G. Wilson, Russell P. Bowler, Katerina Kechris, Farnoush Banaei-Kashani

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 122 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 %
Unknown 122 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 12%
Student > Master 12 10%
Other 11 9%
Student > Ph. D. Student 10 8%
Student > Doctoral Student 8 7%
Other 18 15%
Unknown 48 39%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 14%
Biochemistry, Genetics and Molecular Biology 13 11%
Computer Science 5 4%
Neuroscience 4 3%
Nursing and Health Professions 4 3%
Other 23 19%
Unknown 56 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 04 December 2020.
All research outputs
#3,232,003
of 34,560,275 outputs
Outputs from CHEST
#3,347
of 18,320 outputs
Outputs of similar age
#58,228
of 523,951 outputs
Outputs of similar age from CHEST
#34
of 116 outputs
Altmetric has tracked 34,560,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 81% 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 523,951 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 88% of its contemporaries.
We're also able to compare this research output to 116 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 70% of its contemporaries.