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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers
|
|---|---|
| Published in |
Frontiers in Digital Health, June 2023
|
| DOI | 10.3389/fdgth.2023.1195795 |
| Pubmed ID | |
| Authors |
Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 9% |
| Unspecified | 1 | 4% |
| Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 15 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 9% |
| Unspecified | 1 | 4% |
| Social Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 17 | 74% |
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 09 June 2023.
All research outputs
#18,684,058
of 23,975,876 outputs
Outputs from Frontiers in Digital Health
#541
of 643 outputs
Outputs of similar age
#127,657
of 197,964 outputs
Outputs of similar age from Frontiers in Digital Health
#22
of 31 outputs
Altmetric has tracked 23,975,876 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 643 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 197,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.