↓ Skip to main content

Cold Spring Harbor Laboratory Press

Article Metrics

Opportunities and obstacles for deep learning in biology and medicine

Overview of attention for article published in bioRxiv
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
71 Dimensions

Readers on

mendeley
1228 Mendeley
citeulike
3 CiteULike
Title
Opportunities and obstacles for deep learning in biology and medicine
Published in
bioRxiv
DOI 10.1101/142760
Authors

Ching, Travers, Himmelstein, Daniel S., Beaulieu-Jones, Brett K., Kalinin, Alexandr A., Do, Brian T., Way, Gregory P., Ferrero, Enrico, Agapow, Paul-Michael, Zietz, Michael, Hoffman, Michael M., Xie, Wei, Rosen, Gail L., Lengerich, Benjamin J., Israeli, Johnny, Lanchantin, Jack, Woloszynek, Stephen, Carpenter, Anne E., Shrikumar, Avanti, Xu, Jinbo, Cofer, Evan M., Lavender, Christopher A., Turaga, Srinivas C., Alexandari, Amr M., Lu, Zhiyong, Harris, David J., DeCaprio, Dave, Qi, Yanjun, Kundaje, Anshul, Peng, Yifan, Wiley, Laura K., Segler, Marwin H.S., Boca, Simina M., Swamidass, S. Joshua, Huang, Austin, Gitter, Anthony, Greene, Casey S.

Twitter Demographics

The data shown below were collected from the profiles of 883 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 1,228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
Spain 1 <1%
Uruguay 1 <1%
Unknown 1220 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 223 18%
Researcher 202 16%
Student > Master 117 10%
Student > Bachelor 70 6%
Other 54 4%
Other 143 12%
Unknown 419 34%
Readers by discipline Count As %
Computer Science 240 20%
Biochemistry, Genetics and Molecular Biology 144 12%
Agricultural and Biological Sciences 140 11%
Engineering 72 6%
Medicine and Dentistry 46 4%
Other 147 12%
Unknown 439 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 566. 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 23 May 2021.
All research outputs
#25,137
of 19,118,428 outputs
Outputs from bioRxiv
#215
of 135,981 outputs
Outputs of similar age
#656
of 281,909 outputs
Outputs of similar age from bioRxiv
#2
of 2,814 outputs
Altmetric has tracked 19,118,428 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 135,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. 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 281,909 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 2,814 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.