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Generic medicines: an evaluation of the accuracy and accessibility of information available on the internet

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
27 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Ireland 1 3%
Germany 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Student > Master 6 15%
Student > Bachelor 5 13%
Researcher 4 10%
Student > Doctoral Student 4 10%
Other 12 30%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Computer Science 4 10%
Linguistics 3 8%
Business, Management and Accounting 3 8%
Social Sciences 3 8%
Other 9 23%
Unknown 8 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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
#1,017,902
of 14,056,913 outputs
Outputs from BMC Medical Informatics and Decision Making
#76
of 1,288 outputs
Outputs of similar age
#33,172
of 290,426 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 93 outputs
Altmetric has tracked 14,056,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 290,426 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 88% of its contemporaries.
We're also able to compare this research output to 93 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 92% of its contemporaries.