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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Medically-oriented design for explainable AI for stress prediction from physiological measurements
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2022
|
| DOI | 10.1186/s12911-022-01772-2 |
| Pubmed ID | |
| Authors |
Dalia Jaber, Hazem Hajj, Fadi Maalouf, Wassim El-Hajj |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 12% |
| Student > Bachelor | 3 | 5% |
| Professor | 2 | 3% |
| Professor > Associate Professor | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 35 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 10% |
| Unspecified | 3 | 5% |
| Engineering | 3 | 5% |
| Medicine and Dentistry | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 36 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 August 2022.
All research outputs
#6,676,824
of 24,285,692 outputs
Outputs from BMC Medical Informatics and Decision Making
#604
of 2,070 outputs
Outputs of similar age
#147,045
of 515,274 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 54 outputs
Altmetric has tracked 24,285,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,070 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 70% 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 515,274 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 71% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.