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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What is intrinsic motivation? A typology of computational approaches
|
|---|---|
| Published in |
Frontiers in Neurorobotics, November 2007
|
| DOI | 10.3389/neuro.12.006.2007 |
| Pubmed ID | |
| Authors |
Pierre-Yves Oudeyer, Frederic Kaplan |
X Demographics
The data shown below were collected from the profiles of 20 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 | 5 | 25% |
| Mexico | 1 | 5% |
| Japan | 1 | 5% |
| Finland | 1 | 5% |
| United Kingdom | 1 | 5% |
| France | 1 | 5% |
| Unknown | 10 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 85% |
| Scientists | 3 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 4,749 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 9 | <1% |
| United Kingdom | 8 | <1% |
| United States | 4 | <1% |
| Germany | 3 | <1% |
| Switzerland | 2 | <1% |
| Japan | 2 | <1% |
| China | 2 | <1% |
| Malaysia | 1 | <1% |
| Hong Kong | 1 | <1% |
| Other | 7 | <1% |
| Unknown | 4710 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 178 | 4% |
| Student > Master | 158 | 3% |
| Student > Bachelor | 95 | 2% |
| Researcher | 79 | 2% |
| Student > Doctoral Student | 35 | <1% |
| Other | 114 | 2% |
| Unknown | 4090 | 86% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 224 | 5% |
| Psychology | 76 | 2% |
| Engineering | 72 | 2% |
| Business, Management and Accounting | 37 | <1% |
| Agricultural and Biological Sciences | 36 | <1% |
| Other | 190 | 4% |
| Unknown | 4114 | 87% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 April 2024.
All research outputs
#649,719
of 25,715,849 outputs
Outputs from Frontiers in Neurorobotics
#9
of 1,054 outputs
Outputs of similar age
#1,019
of 89,927 outputs
Outputs of similar age from Frontiers in Neurorobotics
#1
of 3 outputs
Altmetric has tracked 25,715,849 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,054 research outputs from this source. They receive a mean Attention Score of 4.1. 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 89,927 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 98% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them