| Title |
Evaluation of Facial Pulse Signals using Deep Neural Net Models
|
|---|---|
| Published in |
Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2019
|
| DOI | 10.1109/embc.2019.8857839 |
| Pubmed ID | |
| Authors |
Jacek Rumiński, Alicja Kwaśniewska, Maciej Szankin, Tomasz Kocejko, Magdalena Mazur-Milecka |
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 > Ph. D. Student | 4 | 29% |
| Professor > Associate Professor | 2 | 14% |
| Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 43% |
| Physics and Astronomy | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 October 2020.
All research outputs
#8,540,769
of 25,387,668 outputs
Outputs from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#848
of 4,377 outputs
Outputs of similar age
#145,007
of 363,724 outputs
Outputs of similar age from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#65
of 311 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,377 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 57% 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 363,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 311 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.