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A Transcriptome-Wide Association Study (TWAS) Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer

Overview of attention for article published in JNCI: Journal of the National Cancer Institute, April 2020
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
70 Mendeley
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Title
A Transcriptome-Wide Association Study (TWAS) Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer
Published in
JNCI: Journal of the National Cancer Institute, April 2020
DOI 10.1093/jnci/djz246
Pubmed ID
Authors

Jun Zhong, Ashley Jermusyk, Lang Wu, Jason W Hoskins, Irene Collins, Evelina Mocci, Mingfeng Zhang, Lei Song, Charles C Chung, Tongwu Zhang, Wenming Xiao, Demetrius Albanes, Gabriella Andreotti, Alan A Arslan, Ana Babic, William R Bamlet, Laura Beane-Freeman, Sonja Berndt, Ayelet Borgida, Paige M Bracci, Lauren Brais, Paul Brennan, Bas Bueno-de-Mesquita, Julie Buring, Federico Canzian, Erica J Childs, Michelle Cotterchio, Mengmeng Du, Eric J Duell, Charles Fuchs, Steven Gallinger, J Michael Gaziano, Graham G Giles, Edward Giovannucci, Michael Goggins, Gary E Goodman, Phyllis J Goodman, Christopher Haiman, Patricia Hartge, Manal Hasan, Kathy J Helzlsouer, Elizabeth A Holly, Eric A Klein, Manolis Kogevinas, Robert J Kurtz, Loic LeMarchand, Núria Malats, Satu Männistö, Roger Milne, Rachel E Neale, Kimmie Ng, Ofure Obazee, Ann L Oberg, Irene Orlow, Alpa V Patel, Ulrike Peters, Miquel Porta, Nathaniel Rothman, Ghislaine Scelo, Howard D Sesso, Gianluca Severi, Sabina Sieri, Debra Silverman, Malin Sund, Anne Tjønneland, Mark D Thornquist, Geoffrey S Tobias, Antonia Trichopoulou, Stephen K Van Den Eeden, Kala Visvanathan, Jean Wactawski-Wende, Nicolas Wentzensen, Emily White, Herbert Yu, Chen Yuan, Anne Zeleniuch-Jacquotte, Robert Hoover, Kevin Brown, Charles Kooperberg, Harvey A Risch, Eric J Jacobs, Donghui Li, Kai Yu, Xiao-Ou Shu, Stephen J Chanock, Brian M Wolpin, Rachael Z Stolzenberg-Solomon, Nilanjan Chatterjee, Alison P Klein, Jill P Smith, Peter Kraft, Jianxin Shi, Gloria M Petersen, Wei Zheng, Laufey T Amundadottir

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 10 14%
Student > Master 8 11%
Other 4 6%
Professor > Associate Professor 3 4%
Other 8 11%
Unknown 22 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 31%
Agricultural and Biological Sciences 10 14%
Medicine and Dentistry 7 10%
Engineering 3 4%
Chemistry 2 3%
Other 4 6%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 26 May 2020.
All research outputs
#1,977,708
of 25,576,801 outputs
Outputs from JNCI: Journal of the National Cancer Institute
#1,299
of 7,866 outputs
Outputs of similar age
#50,353
of 400,578 outputs
Outputs of similar age from JNCI: Journal of the National Cancer Institute
#21
of 54 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has done well, scoring higher than 83% 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 400,578 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 87% of its contemporaries.
We're also able to compare this research output to 54 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 61% of its contemporaries.