↓ Skip to main content

Michigan Publishing

Article Metrics

Canvass: A Crowd-Sourced, Natural-Product Screening Library for Exploring Biological Space

Overview of attention for article published in ACS Central Science, December 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
65 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Canvass: A Crowd-Sourced, Natural-Product Screening Library for Exploring Biological Space
Published in
ACS Central Science, December 2018
DOI 10.1021/acscentsci.8b00747
Authors

Sara E. Kearney, Gergely Zahoránszky-Kőhalmi, Kyle R. Brimacombe, Mark J. Henderson, Caitlin Lynch, Tongan Zhao, Kanny K. Wan, Zina Itkin, Christopher Dillon, Min Shen, Dorian M. Cheff, Tobie D. Lee, Danielle Bougie, Ken Cheng, Nathan P. Coussens, Dorjbal Dorjsuren, Richard T. Eastman, Ruili Huang, Michael J. Iannotti, Surendra Karavadhi, Carleen Klumpp-Thomas, Jacob S. Roth, Srilatha Sakamuru, Wei Sun, Steven A. Titus, Adam Yasgar, Ya-Qin Zhang, Jinghua Zhao, Rodrigo B. Andrade, M. Kevin Brown, Noah Z. Burns, Jin K. Cha, Emily E. Mevers, Jon Clardy, Jason A. Clement, Peter A. Crooks, Gregory D. Cuny, Jake Ganor, Jesus Moreno, Lucas A. Morrill, Elias Picazo, Robert B. Susick, Neil K. Garg, Brian C. Goess, Robert B. Grossman, Chambers C. Hughes, Jeffrey N. Johnston, Madeleine M. Joullie, A. Douglas Kinghorn, David G.I. Kingston, Michael J. Krische, Ohyun Kwon, Thomas J. Maimone, Susruta Majumdar, Katherine N. Maloney, Enas Mohamed, Brian T. Murphy, Pavel Nagorny, David E. Olson, Larry E. Overman, Lauren E. Brown, John K. Snyder, John A. Porco, Fatima Rivas, Samir A. Ross, Richmond Sarpong, Indrajeet Sharma, Jared T. Shaw, Zhengren Xu, Ben Shen, Wei Shi, Corey R.J. Stephenson, Alyssa L. Verano, Derek S. Tan, Yi Tang, Richard E. Taylor, Regan J. Thomson, David A. Vosburg, Jimmy Wu, William M. Wuest, Armen Zakarian, Yufeng Zhang, Tianjing Ren, Zhong Zuo, James Inglese, Sam Michael, Anton Simeonov, Wei Zheng, Paul Shinn, Ajit Jadhav, Matthew B. Boxer, Matthew D. Hall, Menghang Xia, Rajarshi Guha, Jason M. Rohde

Twitter Demographics

The data shown below were collected from the profiles of 65 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Engineering 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 January 2019.
All research outputs
#346,483
of 12,369,000 outputs
Outputs from ACS Central Science
#103
of 625 outputs
Outputs of similar age
#13,546
of 238,152 outputs
Outputs of similar age from ACS Central Science
#8
of 49 outputs
Altmetric has tracked 12,369,000 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 625 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. 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 238,152 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 94% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.