You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Disciplinary Design and Implementation of a Mass Vaccination Clinic Mobile Application to Support Decision-Making
|
|---|---|
| Published in |
IEEE Journal of Translational Engineering in Health and Medicine, November 2022
|
| DOI | 10.1109/jtehm.2022.3224740 |
| Pubmed ID | |
| Authors |
Ryan Tennant, Moses Tetui, Kelly Grindrod, Catherine M Burns |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 6 | 16% |
| Student > Bachelor | 6 | 16% |
| Student > Master | 3 | 8% |
| Lecturer | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 16 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 16% |
| Nursing and Health Professions | 4 | 11% |
| Engineering | 4 | 11% |
| Computer Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 17 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 February 2023.
All research outputs
#7,363,646
of 25,392,582 outputs
Outputs from IEEE Journal of Translational Engineering in Health and Medicine
#63
of 228 outputs
Outputs of similar age
#142,209
of 487,365 outputs
Outputs of similar age from IEEE Journal of Translational Engineering in Health and Medicine
#3
of 7 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 228 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 71% 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 487,365 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.