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X Demographics
Mendeley readers
Attention Score in Context
Title |
Learning high-level visual representations from a child’s perspective without strong inductive biases
|
---|---|
Published in |
Nature Machine Intelligence, March 2024
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DOI | 10.1038/s42256-024-00802-0 |
Authors |
A. Emin Orhan, Brenden M. Lake |
X Demographics
The data shown below were collected from the profiles of 76 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 | 20 | 26% |
United Kingdom | 4 | 5% |
France | 3 | 4% |
Japan | 3 | 4% |
Canada | 2 | 3% |
Korea, Republic of | 2 | 3% |
Italy | 2 | 3% |
Germany | 1 | 1% |
Spain | 1 | 1% |
Other | 8 | 11% |
Unknown | 30 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 45 | 59% |
Scientists | 29 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 31% |
Researcher | 3 | 19% |
Other | 1 | 6% |
Professor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 13% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 19% |
Computer Science | 2 | 13% |
Neuroscience | 2 | 13% |
Psychology | 2 | 13% |
Philosophy | 1 | 6% |
Other | 2 | 13% |
Unknown | 4 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 06 May 2024.
All research outputs
#567,533
of 25,874,560 outputs
Outputs from Nature Machine Intelligence
#168
of 783 outputs
Outputs of similar age
#8,622
of 336,024 outputs
Outputs of similar age from Nature Machine Intelligence
#8
of 42 outputs
Altmetric has tracked 25,874,560 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 783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.1. 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 336,024 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 97% of its contemporaries.
We're also able to compare this research output to 42 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.