Title |
Integrating trials into a whole-population cohort of children and parents: statement of intent (trials) for the Generation Victoria (GenV) cohort
|
---|---|
Published in |
BMC Medical Research Methodology, September 2020
|
DOI | 10.1186/s12874-020-01111-x |
Pubmed ID | |
Authors |
Melissa Wake, Yanhong Jessika Hu, Hayley Warren, Margie Danchin, Michael Fahey, Francesca Orsini, Maurizio Pacilli, Kirsten P. Perrett, Richard Saffery, Andrew Davidson |
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 % |
---|---|---|
Australia | 1 | 33% |
Ireland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 14% |
Student > Bachelor | 4 | 11% |
Student > Master | 4 | 11% |
Student > Doctoral Student | 3 | 8% |
Student > Ph. D. Student | 3 | 8% |
Other | 5 | 14% |
Unknown | 13 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 16% |
Nursing and Health Professions | 5 | 14% |
Psychology | 4 | 11% |
Social Sciences | 3 | 8% |
Computer Science | 2 | 5% |
Other | 1 | 3% |
Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 October 2020.
All research outputs
#3,639,097
of 23,243,271 outputs
Outputs from BMC Medical Research Methodology
#548
of 2,056 outputs
Outputs of similar age
#89,779
of 408,740 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 51 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 73% 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 408,740 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 77% of its contemporaries.
We're also able to compare this research output to 51 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 62% of its contemporaries.