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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A collective AI via lifelong learning and sharing at the edge
|
|---|---|
| Published in |
Nature Machine Intelligence, March 2024
|
| DOI | 10.1038/s42256-024-00800-2 |
| Authors |
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa Parekh, Kaushik Roy, Shahaf Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri |
X Demographics
The data shown below were collected from the profiles of 41 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 Kingdom | 7 | 17% |
| France | 5 | 12% |
| United States | 5 | 12% |
| Australia | 2 | 5% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Ireland | 1 | 2% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 15 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 80% |
| Scientists | 3 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 21% |
| Unspecified | 3 | 21% |
| Student > Postgraduate | 2 | 14% |
| Professor | 2 | 14% |
| Lecturer | 1 | 7% |
| Other | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 29% |
| Unspecified | 4 | 29% |
| Computer Science | 4 | 29% |
| Environmental Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1264. 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 16 April 2024.
All research outputs
#10,864
of 25,706,302 outputs
Outputs from Nature Machine Intelligence
#2
of 775 outputs
Outputs of similar age
#147
of 232,444 outputs
Outputs of similar age from Nature Machine Intelligence
#1
of 36 outputs
Altmetric has tracked 25,706,302 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 775 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 69.7. 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 232,444 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 99% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.