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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Classical and non-classical psychedelic drugs induce common network changes in human cortex
|
|---|---|
| Published in |
NeuroImage, June 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 |
Twitter Demographics
The data shown below were collected from the profiles of 52 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 23% |
| France | 2 | 4% |
| Japan | 2 | 4% |
| United Kingdom | 2 | 4% |
| Puerto Rico | 1 | 2% |
| Spain | 1 | 2% |
| India | 1 | 2% |
| Brazil | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 29 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41 | 79% |
| Scientists | 6 | 12% |
| Practitioners (doctors, other healthcare professionals) | 4 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Unspecified | 3 | 15% |
| Researcher | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 20% |
| Psychology | 4 | 20% |
| Neuroscience | 3 | 15% |
| Agricultural and Biological Sciences | 2 | 10% |
| Engineering | 2 | 10% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 June 2023.
All research outputs
#485,238
of 24,476,221 outputs
Outputs from NeuroImage
#227
of 12,029 outputs
Outputs of similar age
#10,099
of 366,425 outputs
Outputs of similar age from NeuroImage
#3
of 138 outputs
Altmetric has tracked 24,476,221 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 12,029 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 366,425 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 138 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 98% of its contemporaries.