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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
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 51,852)
  • 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
32 Dimensions

Readers on

mendeley
239 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 924 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 239 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 5%
Unspecified 9 4%
Researcher 4 2%
Professor 1 <1%
Student > Bachelor 1 <1%
Other 0 0%
Unknown 211 88%
Readers by discipline Count As %
Unspecified 9 4%
Agricultural and Biological Sciences 5 2%
Biochemistry, Genetics and Molecular Biology 3 1%
Computer Science 3 1%
Psychology 2 <1%
Other 6 3%
Unknown 211 88%

Attention Score in Context

This research output has an Altmetric Attention Score of 590. 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 10 April 2019.
All research outputs
#10,959
of 13,085,492 outputs
Outputs from bioRxiv
#27
of 51,852 outputs
Outputs of similar age
#552
of 266,420 outputs
Outputs of similar age from bioRxiv
#2
of 2,813 outputs
Altmetric has tracked 13,085,492 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 51,852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 266,420 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 2,813 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.