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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, June 2023
|
| DOI | 10.1109/tpami.2020.3029700 |
| Pubmed ID | |
| Authors |
Denis Tome, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernan Badino, Fernando de la Torre |
Twitter Demographics
The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 20% |
| United States | 2 | 20% |
| Netherlands | 1 | 10% |
| Hong Kong | 1 | 10% |
| Japan | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Researcher | 6 | 18% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 58% |
| Engineering | 5 | 15% |
| Mathematics | 1 | 3% |
| Unknown | 8 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 October 2022.
All research outputs
#3,029,169
of 23,706,350 outputs
Outputs from IEEE Transactions on Software Engineering
#388
of 6,038 outputs
Outputs of similar age
#10,612
of 94,312 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#2
of 11 outputs
Altmetric has tracked 23,706,350 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,038 research outputs from this source. They receive a mean Attention Score of 4.6. 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 94,312 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 88% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.