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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, June 2019
|
| DOI | 10.3389/fncom.2019.00038 |
| Pubmed ID | |
| Authors |
James Humble, Kazuhiro Hiratsuka, Haruo Kasai, Taro Toyoizumi |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 27% |
| Germany | 2 | 18% |
| Switzerland | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 7 | 11% |
| Researcher | 7 | 11% |
| Other | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 25 | 38% |
| Medicine and Dentistry | 6 | 9% |
| Psychology | 5 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 20 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 March 2024.
All research outputs
#5,877,479
of 23,577,761 outputs
Outputs from Frontiers in Computational Neuroscience
#266
of 1,380 outputs
Outputs of similar age
#104,260
of 355,111 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 21 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,380 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 80% 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 355,111 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 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.