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Elevated Platelet Count Appears to Be Causally Associated with Increased Risk of Lung Cancer: A Mendelian Randomization Analysis

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, January 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Elevated Platelet Count Appears to Be Causally Associated with Increased Risk of Lung Cancer: A Mendelian Randomization Analysis
Published in
Cancer Epidemiology, Biomarkers & Prevention, January 2019
DOI 10.1158/1055-9965.epi-18-0356
Pubmed ID
Authors

Ying Zhu, Yongyue Wei, Ruyang Zhang, Xuesi Dong, Sipeng Shen, Yang Zhao, Jianling Bai, Demetrius Albanes, Neil E. Caporaso, Maria Teresa Landi, Bin Zhu, Stephen J. Chanock, Fangyi Gu, Stephen Lam, Ming-Sound Tsao, Frances A. Shepherd, Adonina Tardon, Ana Fernández-Somoano, Guillermo Fernandez-Tardon, Chu Chen, Matthew J. Barnett, Jennifer Doherty, Stig E. Bojesen, Mattias Johansson, Paul Brennan, James D. McKay, Robert Carreras-Torres, Thomas Muley, Angela Risch, Heunz-Erich Wichmann, Heike Bickeboeller, Albert Rosenberger, Gad Rennert, Walid Saliba, Susanne M. Arnold, John K. Field, Michael P.A. Davies, Michael W. Marcus, Xifeng Wu, Yuanqing Ye, Loic Le Marchand, Lynne R. Wilkens, Olle Melander, Jonas Manjer, Hans Brunnström, Rayjean J. Hung, Geoffrey Liu, Yonathan Brhane, Linda Kachuri, Angeline S. Andrew, Eric J. Duell, Lambertus A. Kiemeney, Erik HFM van der Heijden, Aage Haugen, Shanbeh Zienolddiny, Vidar Skaug, Kjell Grankvist, Mikael Johansson, Penella J. Woll, Angela Cox, Fiona Taylor, Dawn M. Teare, Philip Lazarus, Matthew B. Schabath, Melinda C. Aldrich, Richard S. Houlston, John McLaughlin, Victoria L. Stevens, Hongbing Shen, Zhibin Hu, Juncheng Dai, Christopher I. Amos, Younghun Han, Dakai Zhu, Gary E. Goodman, Feng Chen, David C. Christiani

Twitter Demographics

The data shown below were collected from the profiles of 6 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Lecturer 2 11%
Professor 2 11%
Student > Master 2 11%
Other 1 5%
Other 4 21%
Unknown 5 26%
Readers by discipline Count As %
Medicine and Dentistry 7 37%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 2 11%
Mathematics 1 5%
Arts and Humanities 1 5%
Other 0 0%
Unknown 6 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 29 March 2020.
All research outputs
#1,587,776
of 15,922,732 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#582
of 3,736 outputs
Outputs of similar age
#49,475
of 338,184 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#12
of 90 outputs
Altmetric has tracked 15,922,732 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 84% 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 338,184 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 85% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.