↓ Skip to main content

Detection and localization of surgically resectable cancers with a multi-analyte blood test

Overview of attention for article published in Science, January 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
1939 Dimensions

Readers on

mendeley
2560 Mendeley
citeulike
2 CiteULike
Title
Detection and localization of surgically resectable cancers with a multi-analyte blood test
Published in
Science, January 2018
DOI 10.1126/science.aar3247
Pubmed ID
Authors

Joshua D Cohen, Lu Li, Yuxuan Wang, Christopher Thoburn, Bahman Afsari, Ludmila Danilova, Christopher Douville, Ammar A Javed, Fay Wong, Austin Mattox, Ralph H Hruban, Christopher L Wolfgang, Michael G Goggins, Marco Dal Molin, Tian-Li Wang, Richard Roden, Alison P Klein, Janine Ptak, Lisa Dobbyn, Joy Schaefer, Natalie Silliman, Maria Popoli, Joshua T Vogelstein, James D Browne, Robert E Schoen, Randall E Brand, Jeanne Tie, Peter Gibbs, Hui-Li Wong, Aaron S Mansfield, Jin Jen, Samir M Hanash, Massimo Falconi, Peter J Allen, Shibin Zhou, Chetan Bettegowda, Luis A Diaz, Cristian Tomasetti, Kenneth W Kinzler, Bert Vogelstein, Anne Marie Lennon, Nickolas Papadopoulos

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,274 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 2,560 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2560 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 493 19%
Student > Ph. D. Student 389 15%
Student > Master 215 8%
Student > Bachelor 210 8%
Other 177 7%
Other 432 17%
Unknown 644 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 596 23%
Medicine and Dentistry 438 17%
Agricultural and Biological Sciences 252 10%
Engineering 107 4%
Chemistry 83 3%
Other 328 13%
Unknown 756 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3431. 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 March 2024.
All research outputs
#1,716
of 25,791,949 outputs
Outputs from Science
#99
of 83,344 outputs
Outputs of similar age
#14
of 454,024 outputs
Outputs of similar age from Science
#3
of 1,186 outputs
Altmetric has tracked 25,791,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. This one has done particularly well, scoring higher than 99% 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 454,024 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,186 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.