Title |
Generic medicines: an evaluation of the accuracy and accessibility of information available on the internet
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2013
|
DOI | 10.1186/1472-6947-13-115 |
Pubmed ID | |
Authors |
Suzanne S Dunne, Niamh M Cummins, Ailish Hannigan, Bill Shannon, Colum Dunne, Walter Cullen |
Abstract |
Internationally, generic medicines are increasingly seen as a key strategy to reduce healthcare expenditure, therefore awareness and knowledge transfer regarding generic medicines are valid areas of research. Although the Internet is a frequently used source of medical information, the accuracy of material found online is variable. The aim of this study was to evaluate information provided on the Internet regarding generic medicines in terms of quality of information and readability. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 16% |
United States | 3 | 12% |
Curaçao | 1 | 4% |
Cameroon | 1 | 4% |
India | 1 | 4% |
United Kingdom | 1 | 4% |
Ireland | 1 | 4% |
Unknown | 13 | 52% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 56% |
Practitioners (doctors, other healthcare professionals) | 4 | 16% |
Scientists | 4 | 16% |
Science communicators (journalists, bloggers, editors) | 3 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Germany | 1 | 2% |
Ireland | 1 | 2% |
Unknown | 56 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 14% |
Researcher | 7 | 12% |
Student > Ph. D. Student | 7 | 12% |
Professor > Associate Professor | 5 | 8% |
Student > Bachelor | 5 | 8% |
Other | 16 | 27% |
Unknown | 11 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 22% |
Social Sciences | 5 | 8% |
Business, Management and Accounting | 4 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
Linguistics | 3 | 5% |
Other | 13 | 22% |
Unknown | 17 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 14 April 2014.
All research outputs
#2,214,745
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#130
of 2,030 outputs
Outputs of similar age
#20,612
of 211,941 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 36 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 94% 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 211,941 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 90% of its contemporaries.
We're also able to compare this research output to 36 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 91% of its contemporaries.