| Title |
A human pose estimation algorithm based on the integration of improved convolutional neural networks and multi-level graph structure constrained model
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, July 2019
|
| DOI | 10.1007/s00779-019-01255-8 |
| Authors |
Yang You, Yanmin Zhao |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 33% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Researcher | 1 | 7% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 47% |
| Engineering | 1 | 7% |
| Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 July 2019.
All research outputs
#20,574,742
of 23,151,828 outputs
Outputs from Personal and Ubiquitous Computing
#1,103
of 1,201 outputs
Outputs of similar age
#294,739
of 346,562 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#27
of 55 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,201 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.