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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
  • 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
50 Dimensions

Readers on

mendeley
801 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 909 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 801 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 793 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 211 26%
Researcher 188 23%
Student > Master 104 13%
Student > Bachelor 57 7%
Other 53 7%
Other 126 16%
Unknown 62 8%
Readers by discipline Count As %
Computer Science 223 28%
Agricultural and Biological Sciences 138 17%
Biochemistry, Genetics and Molecular Biology 130 16%
Engineering 60 7%
Medicine and Dentistry 44 5%
Other 123 15%
Unknown 83 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 572. 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 09 July 2020.
All research outputs
#16,763
of 15,434,377 outputs
Outputs from bioRxiv
#89
of 89,146 outputs
Outputs of similar age
#621
of 270,459 outputs
Outputs of similar age from bioRxiv
#2
of 2,813 outputs
Altmetric has tracked 15,434,377 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 89,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 270,459 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.