You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Attention Score in Context
| Title |
Response of a neuronal network computational model to infrared neural stimulation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, August 2022
|
| DOI | 10.3389/fncom.2022.933818 |
| Pubmed ID | |
| Authors |
Jinzhao Wei, Licong Li, Hao Song, Zhaoning Du, Jianli Yang, Mingsha Zhang, Xiuling Liu |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| Canada | 1 | 17% |
| Switzerland | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 November 2022.
All research outputs
#13,906,116
of 24,811,594 outputs
Outputs from Frontiers in Computational Neuroscience
#470
of 1,430 outputs
Outputs of similar age
#158,935
of 421,188 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#10
of 40 outputs
Altmetric has tracked 24,811,594 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,430 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 gotten more attention than average, scoring higher than 66% 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 421,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.