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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-19: protocol for observational studies utilizing near real-time electronic Australian general practice data to promote effective care and best-practice policy—a design thinking approach
|
|---|---|
| Published in |
Health Research Policy and Systems, September 2021
|
| DOI | 10.1186/s12961-021-00772-4 |
| Pubmed ID | |
| Authors |
Andrew Georgiou, Julie Li, Christopher Pearce, Adam McLeod, Nasir Wabe, Rae-Anne Hardie, Guilherme Saffi Franco, Chisato Imai, Gorkem Sezgin, Judith Thomas, Zhaoli Dai, Muhammad Kashif Sheikh, Amanda Proposch, Stephen Weeding, Brendon Wickham, Tony Badrick, Darnel Murgatroyd |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 6 | 50% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 6 | 10% |
| Student > Master | 5 | 8% |
| Researcher | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 30 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 7% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 4 | 7% |
| Social Sciences | 4 | 7% |
| Engineering | 2 | 3% |
| Other | 11 | 18% |
| Unknown | 31 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 10 September 2021.
All research outputs
#4,213,923
of 23,314,015 outputs
Outputs from Health Research Policy and Systems
#585
of 1,232 outputs
Outputs of similar age
#92,981
of 429,611 outputs
Outputs of similar age from Health Research Policy and Systems
#13
of 37 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 52% 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 429,611 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 78% of its contemporaries.
We're also able to compare this research output to 37 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 67% of its contemporaries.