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 |
The QUEST for quality online health information: validation of a short quantitative tool
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2018
|
| DOI | 10.1186/s12911-018-0668-9 |
| Pubmed ID | |
| Authors |
Julie M. Robillard, Jessica H. Jun, Jen-Ai Lai, Tanya L. Feng |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 43% |
| Netherlands | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Student > Bachelor | 13 | 15% |
| Researcher | 10 | 12% |
| Student > Ph. D. Student | 7 | 8% |
| Other | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 21% |
| Nursing and Health Professions | 11 | 13% |
| Psychology | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Computer Science | 3 | 3% |
| Other | 15 | 17% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 31 March 2021.
All research outputs
#1,171,947
of 23,870,803 outputs
Outputs from BMC Medical Informatics and Decision Making
#42
of 2,030 outputs
Outputs of similar age
#26,871
of 351,466 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 26 outputs
Altmetric has tracked 23,870,803 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 351,466 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.