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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, May 2022
|
| DOI | 10.3389/fbioe.2022.876672 |
| Pubmed ID | |
| Authors |
Ahmad Yaser Alhaddad, Hussein Aly, Hoda Gad, Abdulaziz Al-Ali, Kishor Kumar Sadasivuni, John-John Cabibihan, Rayaz A. Malik |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 4 | 19% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 7% |
| Professor > Associate Professor | 4 | 5% |
| Student > Postgraduate | 3 | 4% |
| Student > Ph. D. Student | 3 | 4% |
| Student > Bachelor | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 47 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 10% |
| Chemistry | 5 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Computer Science | 3 | 4% |
| Social Sciences | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 48 | 66% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 May 2022.
All research outputs
#5,397,195
of 26,213,251 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#792
of 8,698 outputs
Outputs of similar age
#111,832
of 450,018 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#36
of 579 outputs
Altmetric has tracked 26,213,251 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,698 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% 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 450,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 579 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.