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High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology

Overview of attention for article published in Nature Communications, December 2018
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
41 tweeters
facebook
3 Facebook pages

Readers on

mendeley
71 Mendeley
Title
High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
Published in
Nature Communications, December 2018
DOI 10.1038/s41467-018-07289-5
Pubmed ID
Authors

Xudong Lin, Xin Duan, Claire Jacobs, Jeremy Ullmann, Chung-Yuen Chan, Siya Chen, Shuk-Han Cheng, Wen-Ning Zhao, Annapurna Poduri, Xin Wang, Stephen J. Haggarty, Peng Shi

Twitter Demographics

The data shown below were collected from the profiles of 41 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 14 20%
Student > Master 10 14%
Professor > Associate Professor 5 7%
Student > Doctoral Student 2 3%
Other 8 11%
Unknown 10 14%
Readers by discipline Count As %
Neuroscience 13 18%
Agricultural and Biological Sciences 10 14%
Engineering 9 13%
Biochemistry, Genetics and Molecular Biology 7 10%
Physics and Astronomy 6 8%
Other 12 17%
Unknown 14 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 January 2020.
All research outputs
#227,231
of 15,606,582 outputs
Outputs from Nature Communications
#3,926
of 29,640 outputs
Outputs of similar age
#9,479
of 387,477 outputs
Outputs of similar age from Nature Communications
#772
of 5,070 outputs
Altmetric has tracked 15,606,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.0. This one has done well, scoring higher than 86% 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 387,477 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 97% of its contemporaries.
We're also able to compare this research output to 5,070 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.