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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Learning of Spatial Properties of a Large-Scale Virtual City With an Interactive Map
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, July 2019
|
| DOI | 10.3389/fnhum.2019.00240 |
| Pubmed ID | |
| Authors |
Sabine U. König, Viviane Clay, Debora Nolte, Laura Duesberg, Nicolas Kuske, Peter König |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| United Kingdom | 2 | 15% |
| Belgium | 1 | 8% |
| Germany | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 4 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Bachelor | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Postgraduate | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 22 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 17% |
| Psychology | 11 | 16% |
| Design | 5 | 7% |
| Computer Science | 4 | 6% |
| Engineering | 2 | 3% |
| Other | 11 | 16% |
| Unknown | 24 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 October 2019.
All research outputs
#3,587,682
of 25,622,179 outputs
Outputs from Frontiers in Human Neuroscience
#1,673
of 7,738 outputs
Outputs of similar age
#70,178
of 360,934 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#24
of 105 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 78% 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 360,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.