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Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution

Overview of attention for article published in Science, January 2019
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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 (96th percentile)

Citations

dimensions_citation
271 Dimensions

Readers on

mendeley
966 Mendeley
citeulike
4 CiteULike
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Title
Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution
Published in
Science, January 2019
DOI 10.1126/science.aau8302
Pubmed ID
Authors

Ruixuan Gao, Shoh M. Asano, Srigokul Upadhyayula, Igor Pisarev, Daniel E. Milkie, Tsung-Li Liu, Ved Singh, Austin Graves, Grace H. Huynh, Yongxin Zhao, John Bogovic, Jennifer Colonell, Carolyn M. Ott, Christopher Zugates, Susan Tappan, Alfredo Rodriguez, Kishore R. Mosaliganti, Shu-Hsien Sheu, H. Amalia Pasolli, Song Pang, C. Shan Xu, Sean G. Megason, Harald Hess, Jennifer Lippincott-Schwartz, Adam Hantman, Gerald M. Rubin, Tom Kirchhausen, Stephan Saalfeld, Yoshinori Aso, Edward S. Boyden, Eric Betzig

Twitter Demographics

The data shown below were collected from the profiles of 648 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 966 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 966 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 220 23%
Researcher 208 22%
Student > Bachelor 97 10%
Student > Master 89 9%
Professor 42 4%
Other 149 15%
Unknown 161 17%
Readers by discipline Count As %
Neuroscience 253 26%
Agricultural and Biological Sciences 141 15%
Biochemistry, Genetics and Molecular Biology 124 13%
Engineering 64 7%
Physics and Astronomy 58 6%
Other 137 14%
Unknown 189 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 661. 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 07 December 2022.
All research outputs
#29,086
of 23,973,980 outputs
Outputs from Science
#1,299
of 78,995 outputs
Outputs of similar age
#597
of 443,142 outputs
Outputs of similar age from Science
#39
of 1,145 outputs
Altmetric has tracked 23,973,980 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 78,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.9. This one has done particularly well, scoring higher than 98% 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 443,142 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 1,145 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 96% of its contemporaries.