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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Model of Memory Linking Time to Space
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, July 2020
|
| DOI | 10.3389/fncom.2020.00060 |
| Pubmed ID | |
| Authors |
Hubert Löffler, Daya Shankar Gupta |
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 States | 2 | 18% |
| Taiwan | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 7 | 64% |
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Researcher | 5 | 28% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 17% |
| Psychology | 2 | 11% |
| Engineering | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 6% |
| Sports and Recreations | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 6 | 33% |
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 18 February 2021.
All research outputs
#6,197,688
of 25,389,116 outputs
Outputs from Frontiers in Computational Neuroscience
#248
of 1,457 outputs
Outputs of similar age
#120,980
of 403,942 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 26 outputs
Altmetric has tracked 25,389,116 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 1,457 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 done well, scoring higher than 83% 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 403,942 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 69% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.