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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization
|
|---|---|
| Published in |
Frontiers in Neurorobotics, November 2018
|
| DOI | 10.3389/fnbot.2018.00078 |
| Pubmed ID | |
| Authors |
German I. Parisi, Jun Tani, Cornelius Weber, Stefan Wermter |
X Demographics
The data shown below were collected from the profiles of 16 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 States | 2 | 13% |
| Italy | 1 | 6% |
| Spain | 1 | 6% |
| Switzerland | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 207 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 25% |
| Researcher | 24 | 12% |
| Student > Master | 22 | 11% |
| Other | 15 | 7% |
| Student > Bachelor | 13 | 6% |
| Other | 25 | 12% |
| Unknown | 57 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 90 | 43% |
| Neuroscience | 14 | 7% |
| Engineering | 14 | 7% |
| Mathematics | 8 | 4% |
| Physics and Astronomy | 4 | 2% |
| Other | 16 | 8% |
| Unknown | 61 | 29% |
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 06 January 2020.
All research outputs
#5,057,348
of 24,002,307 outputs
Outputs from Frontiers in Neurorobotics
#115
of 944 outputs
Outputs of similar age
#109,854
of 444,705 outputs
Outputs of similar age from Frontiers in Neurorobotics
#2
of 22 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 944 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 444,705 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 74% of its contemporaries.
We're also able to compare this research output to 22 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 95% of its contemporaries.