Report for: Opportunities and obstacles for deep learning in biology and medicine

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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.

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Twitter Demographics

The data shown below were collected from the profiles of 852 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	260	31%
United Kingdom	57	7%
Canada	48	6%
Japan	32	4%
Spain	25	3%
Germany	23	3%
India	22	3%
France	21	2%
Australia	13	2%
Other	115	13%
Unknown	236	28%

Demographic breakdown

Type	Count	As %
Members of the public	490	58%
Scientists	335	39%
Practitioners (doctors, other healthcare professionals)	16	2%
Science communicators (journalists, bloggers, editors)	7	<1%
Unknown	4	<1%

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

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	222	18%
Researcher	203	17%
Student > Master	117	10%
Student > Bachelor	69	6%
Other	54	4%
Other	145	12%
Unknown	418	34%

Readers by discipline	Count	As %
Computer Science	240	20%
Biochemistry, Genetics and Molecular Biology	144	12%
Agricultural and Biological Sciences	141	11%
Engineering	72	6%
Medicine and Dentistry	46	4%
Other	147	12%
Unknown	438	36%

Attention Score in Context

This research output has an Altmetric Attention Score of 545. 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 26 April 2022.

All research outputs

#35,202

of 22,560,481 outputs

Outputs from bioRxiv

#317

of 176,007 outputs

Outputs of similar age

#745

of 290,506 outputs

Outputs of similar age from bioRxiv

of 2,813 outputs

Altmetric has tracked 22,560,481 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 176,007 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 290,506 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.

Opportunities and obstacles for deep learning in biology and medicine

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context