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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields
|
|---|---|
| Published in |
PLoS Computational Biology, August 2008
|
| DOI | 10.1371/journal.pcbi.1000092 |
| Pubmed ID | |
| Authors |
Gustavo Deco, Viktor K. Jirsa, Peter A. Robinson, Michael Breakspear, Karl Friston |
X Demographics
The data shown below were collected from the profiles of 14 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 | 2 | 14% |
| India | 1 | 7% |
| Venezuela, Bolivarian Republic of | 1 | 7% |
| Australia | 1 | 7% |
| Belgium | 1 | 7% |
| Denmark | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 4 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,338 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 30 | 2% |
| United Kingdom | 18 | 1% |
| Germany | 15 | 1% |
| France | 11 | <1% |
| Netherlands | 9 | <1% |
| Spain | 8 | <1% |
| Italy | 7 | <1% |
| Switzerland | 5 | <1% |
| Canada | 5 | <1% |
| Other | 29 | 2% |
| Unknown | 1201 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 378 | 28% |
| Researcher | 302 | 23% |
| Student > Master | 131 | 10% |
| Student > Bachelor | 76 | 6% |
| Professor | 67 | 5% |
| Other | 231 | 17% |
| Unknown | 153 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 267 | 20% |
| Agricultural and Biological Sciences | 204 | 15% |
| Computer Science | 131 | 10% |
| Engineering | 129 | 10% |
| Physics and Astronomy | 119 | 9% |
| Other | 276 | 21% |
| Unknown | 212 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 17 June 2023.
All research outputs
#1,495,049
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#1,239
of 9,035 outputs
Outputs of similar age
#3,536
of 98,745 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 50 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 86% 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 98,745 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 95% of its contemporaries.
We're also able to compare this research output to 50 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.