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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementing Germ Defence digital behaviour change intervention via all primary care practices in England to reduce respiratory infections during the COVID-19 pandemic: an efficient cluster randomised controlled trial using the OpenSAFELY platform
|
|---|---|
| Published in |
Implementation Science, December 2023
|
| DOI | 10.1186/s13012-023-01321-z |
| Pubmed ID | |
| Authors |
Ben Ainsworth, Jeremy Horwood, Scott R. Walter, Sascha Miller, Melanie Chalder, Frank De Vocht, James Denison-Day, Martha M. C. Elwenspoek, Helen J. Curtis, Chris Bates, Amir Mehrkar, Seb Bacon, Ben Goldacre, Pippa Craggs, Richard Amlôt, Nick Francis, Paul Little, John Macleod, Michael Moore, Kate Morton, Cathy Rice, Jonathan Sterne, Beth Stuart, Lauren Towler, Merlin L. Willcox, Lucy Yardley |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 7 | 54% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 54% |
| Members of the public | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Researcher | 1 | 10% |
| Lecturer | 1 | 10% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 20% |
| Unspecified | 1 | 10% |
| Social Sciences | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 5 | 50% |
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 13 March 2024.
All research outputs
#4,821,199
of 25,480,126 outputs
Outputs from Implementation Science
#877
of 1,813 outputs
Outputs of similar age
#71,473
of 350,826 outputs
Outputs of similar age from Implementation Science
#10
of 23 outputs
Altmetric has tracked 25,480,126 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 1,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 51% 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 350,826 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 79% of its contemporaries.
We're also able to compare this research output to 23 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 60% of its contemporaries.