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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Organic Multi-Channel Optoelectronic Sensors for Wearable Health Monitoring
|
|---|---|
| Published in |
IEEE Access, September 2019
|
| DOI | 10.1109/access.2019.2939798 |
| Authors |
Yasser Khan, Donggeon Han, Jonathan Ting, Maruf Ahmed, Ramune Nagisetty, Ana C. Arias |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Student > Master | 13 | 16% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 6 | 8% |
| Researcher | 6 | 8% |
| Other | 1 | 1% |
| Unknown | 31 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 30 | 38% |
| Materials Science | 5 | 6% |
| Computer Science | 2 | 3% |
| Chemistry | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 32 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 January 2023.
All research outputs
#6,242,372
of 25,385,509 outputs
Outputs from IEEE Access
#1,841
of 9,882 outputs
Outputs of similar age
#101,634
of 350,816 outputs
Outputs of similar age from IEEE Access
#125
of 560 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,882 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 350,816 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 70% of its contemporaries.
We're also able to compare this research output to 560 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.