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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 (#48 of 72,659)
  • 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
42 Dimensions

Readers on

mendeley
797 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 912 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 797 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 789 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 212 27%
Researcher 185 23%
Student > Master 106 13%
Student > Bachelor 57 7%
Other 54 7%
Other 126 16%
Unknown 57 7%
Readers by discipline Count As %
Computer Science 225 28%
Agricultural and Biological Sciences 139 17%
Biochemistry, Genetics and Molecular Biology 129 16%
Engineering 62 8%
Medicine and Dentistry 44 6%
Other 120 15%
Unknown 78 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 575. 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 28 July 2019.
All research outputs
#13,947
of 14,350,170 outputs
Outputs from bioRxiv
#48
of 72,659 outputs
Outputs of similar age
#598
of 268,523 outputs
Outputs of similar age from bioRxiv
#2
of 2,813 outputs
Altmetric has tracked 14,350,170 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 72,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. 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 268,523 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.