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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model
|
|---|---|
| Published in |
PLoS Computational Biology, March 2008
|
| DOI | 10.1371/journal.pcbi.1000022 |
| Pubmed ID | |
| Authors |
Siu Kang, Katsunori Kitano, Tomoki Fukai |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 5% |
| France | 2 | 2% |
| Germany | 2 | 2% |
| Italy | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 1 | <1% |
| Slovakia | 1 | <1% |
| Finland | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 88 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 28% |
| Researcher | 26 | 24% |
| Student > Master | 13 | 12% |
| Professor | 9 | 8% |
| Professor > Associate Professor | 8 | 7% |
| Other | 14 | 13% |
| Unknown | 8 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 37% |
| Neuroscience | 15 | 14% |
| Physics and Astronomy | 12 | 11% |
| Computer Science | 10 | 9% |
| Engineering | 7 | 6% |
| Other | 15 | 14% |
| Unknown | 9 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 May 2018.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,211
of 8,964 outputs
Outputs of similar age
#87,731
of 94,685 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 39 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 94,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.