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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classical and non-classical psychedelic drugs induce common network changes in human cortex
|
|---|---|
| Published in |
NeuroImage, April 2023
|
| DOI | 10.1016/j.neuroimage.2023.120097 |
| Pubmed ID | |
| Authors |
Rui Dai, Tony E Larkin, Zirui Huang, Vijay Tarnal, Paul Picton, Phillip E Vlisides, Ellen Janke, Amy McKinney, Anthony G Hudetz, Richard E Harris, George A Mashour |
X Demographics
The data shown below were collected from the profiles of 51 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 | 11 | 22% |
| United Kingdom | 2 | 4% |
| India | 2 | 4% |
| France | 2 | 4% |
| Japan | 2 | 4% |
| Poland | 1 | 2% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Portugal | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 26 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 76% |
| Scientists | 6 | 12% |
| Practitioners (doctors, other healthcare professionals) | 5 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Student > Master | 4 | 15% |
| Researcher | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 11% |
| Psychology | 3 | 11% |
| Agricultural and Biological Sciences | 2 | 7% |
| Engineering | 2 | 7% |
| Energy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 15 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 11 October 2023.
All research outputs
#535,285
of 25,738,558 outputs
Outputs from NeuroImage
#241
of 12,284 outputs
Outputs of similar age
#12,045
of 424,208 outputs
Outputs of similar age from NeuroImage
#4
of 164 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 424,208 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 164 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 97% of its contemporaries.