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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2020
|
| DOI | 10.1186/s12911-020-01199-7 |
| Pubmed ID | |
| Authors |
Muhammad Shabaan, Kaleem Arshid, Muhammad Yaqub, Feng Jinchao, M. Sultan Zia, Giridhar Reddy Bojja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati, Rizwan Munir |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Netherlands | 1 | 33% |
| Denmark | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 12% |
| Student > Master | 11 | 11% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Researcher | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 41 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 23% |
| Computer Science | 9 | 9% |
| Medicine and Dentistry | 6 | 6% |
| Nursing and Health Professions | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 47 | 48% |
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 07 June 2022.
All research outputs
#13,614,292
of 23,963,877 outputs
Outputs from BMC Medical Informatics and Decision Making
#903
of 2,045 outputs
Outputs of similar age
#190,640
of 401,609 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 58 outputs
Altmetric has tracked 23,963,877 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,045 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 54% 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 401,609 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 51% of its contemporaries.
We're also able to compare this research output to 58 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 53% of its contemporaries.