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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Connectome-Based, Corticothalamic Model of State- and Stimulation-Dependent Modulation of Rhythmic Neural Activity and Connectivity
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, December 2020
|
| DOI | 10.3389/fncom.2020.575143 |
| Pubmed ID | |
| Authors |
John D. Griffiths, Anthony Randal McIntosh, Jeremie Lefebvre |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 14% |
| United States | 2 | 10% |
| Germany | 2 | 10% |
| Belgium | 1 | 5% |
| Kenya | 1 | 5% |
| France | 1 | 5% |
| United Kingdom | 1 | 5% |
| Switzerland | 1 | 5% |
| Australia | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 57% |
| Scientists | 7 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Researcher | 11 | 19% |
| Student > Master | 9 | 16% |
| Student > Bachelor | 5 | 9% |
| Lecturer | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 39% |
| Medicine and Dentistry | 6 | 11% |
| Psychology | 3 | 5% |
| Mathematics | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 16 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 January 2021.
All research outputs
#3,340,935
of 24,319,828 outputs
Outputs from Frontiers in Computational Neuroscience
#148
of 1,410 outputs
Outputs of similar age
#89,184
of 512,087 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 29 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 89% 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 512,087 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.