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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
|
| 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 72 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 | 19 | 26% |
| United Kingdom | 4 | 6% |
| France | 3 | 4% |
| Canada | 2 | 3% |
| Korea, Republic of | 2 | 3% |
| Japan | 2 | 3% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| Bosnia and Herzegovina | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 30 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 61% |
| Scientists | 27 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 40% |
| Researcher | 2 | 13% |
| Professor | 1 | 7% |
| Unspecified | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 20% |
| Computer Science | 2 | 13% |
| Neuroscience | 2 | 13% |
| Psychology | 2 | 13% |
| Philosophy | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 April 2024.
All research outputs
#579,323
of 25,809,966 outputs
Outputs from Nature Machine Intelligence
#170
of 774 outputs
Outputs of similar age
#6,817
of 276,948 outputs
Outputs of similar age from Nature Machine Intelligence
#7
of 39 outputs
Altmetric has tracked 25,809,966 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 774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.9. 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 276,948 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 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.