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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 630 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 194 | 31% |
| United Kingdom | 55 | 9% |
| Canada | 17 | 3% |
| Australia | 15 | 2% |
| Germany | 14 | 2% |
| France | 12 | 2% |
| Spain | 10 | 2% |
| Japan | 8 | 1% |
| Switzerland | 6 | <1% |
| Other | 70 | 11% |
| Unknown | 229 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 404 | 64% |
| Scientists | 195 | 31% |
| Science communicators (journalists, bloggers, editors) | 21 | 3% |
| Practitioners (doctors, other healthcare professionals) | 10 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 984 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 984 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 226 | 23% |
| Researcher | 208 | 21% |
| Student > Bachelor | 97 | 10% |
| Student > Master | 87 | 9% |
| Professor | 43 | 4% |
| Other | 147 | 15% |
| Unknown | 176 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 259 | 26% |
| Agricultural and Biological Sciences | 138 | 14% |
| Biochemistry, Genetics and Molecular Biology | 124 | 13% |
| Engineering | 64 | 7% |
| Physics and Astronomy | 59 | 6% |
| Other | 135 | 14% |
| Unknown | 205 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 650. 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 16 January 2024.
All research outputs
#34,147
of 25,848,962 outputs
Outputs from Science
#1,452
of 83,353 outputs
Outputs of similar age
#659
of 450,113 outputs
Outputs of similar age from Science
#36
of 1,142 outputs
Altmetric has tracked 25,848,962 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 83,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.1. 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 450,113 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 1,142 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.