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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Foundations of Natural Intelligence
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, December 2017
|
| DOI | 10.3389/fncom.2017.00112 |
| Pubmed ID | |
| Authors |
Marcel van Gerven |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | 16% |
| United States | 3 | 12% |
| France | 2 | 8% |
| United Kingdom | 1 | 4% |
| Germany | 1 | 4% |
| Turkey | 1 | 4% |
| Switzerland | 1 | 4% |
| Mexico | 1 | 4% |
| Japan | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 76% |
| Scientists | 5 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 282 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 20% |
| Student > Master | 45 | 16% |
| Researcher | 43 | 15% |
| Student > Bachelor | 38 | 13% |
| Other | 17 | 6% |
| Other | 44 | 16% |
| Unknown | 40 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 25% |
| Neuroscience | 59 | 21% |
| Psychology | 24 | 9% |
| Engineering | 21 | 7% |
| Agricultural and Biological Sciences | 18 | 6% |
| Other | 44 | 16% |
| Unknown | 46 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 30 April 2024.
All research outputs
#2,486,835
of 25,818,700 outputs
Outputs from Frontiers in Computational Neuroscience
#93
of 1,475 outputs
Outputs of similar age
#52,748
of 448,853 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 25 outputs
Altmetric has tracked 25,818,700 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 93% 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 448,853 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 88% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.