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X Demographics
Mendeley readers
Attention Score in Context
| Title |
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, May 2023
|
| DOI | 10.1109/tpami.2021.3070543 |
| Pubmed ID | |
| Authors |
Roberto Martn-Martn, Mihir Patel, Hamid Rezatofighi, Abhijeet Shenoi, JunYoung Gwak, Eric Frankel, Amir Sadeghian, Silvio Savarese |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 22% |
| Student > Ph. D. Student | 6 | 15% |
| Researcher | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Student > Postgraduate | 2 | 5% |
| Other | 0 | 0% |
| Unknown | 17 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 24% |
| Computer Science | 9 | 22% |
| Psychology | 1 | 2% |
| Mathematics | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 18 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 April 2021.
All research outputs
#3,553,097
of 25,387,668 outputs
Outputs from IEEE Transactions on Software Engineering
#501
of 6,373 outputs
Outputs of similar age
#65,938
of 401,620 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#5
of 76 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,373 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 401,620 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 76 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 93% of its contemporaries.