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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 37 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 | 6 | 16% |
| Australia | 2 | 5% |
| Mexico | 2 | 5% |
| France | 2 | 5% |
| India | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Switzerland | 1 | 3% |
| New Zealand | 1 | 3% |
| Netherlands | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 18 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 62% |
| Scientists | 10 | 27% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 25% |
| Researcher | 17 | 18% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 5 | 5% |
| Professor > Associate Professor | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 15% |
| Agricultural and Biological Sciences | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Engineering | 10 | 11% |
| Physics and Astronomy | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 23 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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
#498,481
of 25,231,854 outputs
Outputs from Nature Communications
#8,480
of 55,817 outputs
Outputs of similar age
#11,121
of 449,504 outputs
Outputs of similar age from Nature Communications
#198
of 1,325 outputs
Altmetric has tracked 25,231,854 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 55,817 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one has done well, scoring higher than 84% 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 449,504 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 1,325 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.