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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neurons learn by predicting future activity
|
|---|---|
| Published in |
Nature Machine Intelligence, January 2022
|
| DOI | 10.1038/s42256-021-00430-y |
| Pubmed ID | |
| Authors |
Artur Luczak, Bruce L. McNaughton, Yoshimasa Kubo |
X Demographics
The data shown below were collected from the profiles of 297 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 | 39 | 13% |
| United Kingdom | 21 | 7% |
| Australia | 10 | 3% |
| Spain | 9 | 3% |
| Japan | 8 | 3% |
| Canada | 7 | 2% |
| Italy | 6 | 2% |
| Netherlands | 6 | 2% |
| Chile | 6 | 2% |
| Other | 46 | 15% |
| Unknown | 139 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 205 | 69% |
| Scientists | 80 | 27% |
| Practitioners (doctors, other healthcare professionals) | 7 | 2% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 196 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 29% |
| Researcher | 28 | 14% |
| Student > Master | 13 | 7% |
| Student > Bachelor | 12 | 6% |
| Professor > Associate Professor | 8 | 4% |
| Other | 17 | 9% |
| Unknown | 62 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 45 | 23% |
| Computer Science | 18 | 9% |
| Psychology | 17 | 9% |
| Agricultural and Biological Sciences | 15 | 8% |
| Engineering | 14 | 7% |
| Other | 20 | 10% |
| Unknown | 67 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 206. 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 03 November 2023.
All research outputs
#193,743
of 25,743,152 outputs
Outputs from Nature Machine Intelligence
#48
of 777 outputs
Outputs of similar age
#6,138
of 520,347 outputs
Outputs of similar age from Nature Machine Intelligence
#4
of 37 outputs
Altmetric has tracked 25,743,152 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 777 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.4. 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 520,347 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 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.