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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, November 2020
|
| DOI | 10.3389/fncom.2020.580632 |
| Pubmed ID | |
| Authors |
Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Zonglei Zhen, Jia Liu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 14% |
| Neuroscience | 5 | 12% |
| Psychology | 5 | 12% |
| Computer Science | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 March 2022.
All research outputs
#14,261,094
of 23,299,593 outputs
Outputs from Frontiers in Computational Neuroscience
#640
of 1,370 outputs
Outputs of similar age
#262,312
of 509,087 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#14
of 25 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 49th percentile – i.e., 49% 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 509,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.