You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
|
|---|---|
| Published in |
IEEE Robotics and Automation Letters, May 2023
|
| DOI | 10.1109/lra.2023.3272516 |
| Authors |
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns |
X Demographics
The data shown below were collected from the profiles of 144 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 | 18 | 13% |
| France | 8 | 6% |
| Japan | 5 | 3% |
| India | 5 | 3% |
| Korea, Republic of | 3 | 2% |
| Taiwan | 2 | 1% |
| Germany | 2 | 1% |
| Indonesia | 2 | 1% |
| Comoros | 1 | <1% |
| Other | 18 | 13% |
| Unknown | 80 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 118 | 82% |
| Scientists | 24 | 17% |
| 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 16% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Master | 6 | 8% |
| Student > Postgraduate | 4 | 5% |
| Other | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 38 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 30% |
| Engineering | 9 | 12% |
| Agricultural and Biological Sciences | 1 | 1% |
| Unknown | 42 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 05 May 2023.
All research outputs
#472,745
of 25,750,437 outputs
Outputs from IEEE Robotics and Automation Letters
#30
of 2,634 outputs
Outputs of similar age
#10,635
of 410,202 outputs
Outputs of similar age from IEEE Robotics and Automation Letters
#1
of 29 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,634 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 98% 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 410,202 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 29 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 96% of its contemporaries.