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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry
|
|---|---|
| Published in |
Neural Networks, June 2023
|
| DOI | 10.1016/j.neunet.2023.03.030 |
| Authors |
Simone Coppolino, Michele Migliore |
Twitter Demographics
The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 26% |
| France | 2 | 11% |
| Brazil | 1 | 5% |
| Pakistan | 1 | 5% |
| Mexico | 1 | 5% |
| Taiwan | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 68% |
| Scientists | 3 | 16% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Neuroscience | 1 | 17% |
| Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 201. 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 15 September 2023.
All research outputs
#183,976
of 24,447,003 outputs
Outputs from Neural Networks
#2
of 1,683 outputs
Outputs of similar age
#4,125
of 365,412 outputs
Outputs of similar age from Neural Networks
#1
of 26 outputs
Altmetric has tracked 24,447,003 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,683 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 365,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% 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 particularly well, scoring higher than 99% of its contemporaries.