↓ Skip to main content

Clinical decision support tools: analysis of online drug information databases

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2007
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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.
Title
Clinical decision support tools: analysis of online drug information databases
Published in
BMC Medical Informatics and Decision Making, March 2007
DOI 10.1186/1472-6947-7-7
Pubmed ID
Authors

Kevin A Clauson, Wallace A Marsh, Hyla H Polen, Matthew J Seamon, Blanca I Ortiz

Abstract

Online drug information databases are used to assist in enhancing clinical decision support. However, the choice of which online database to consult, purchase or subscribe to is likely made based on subjective elements such as history of use, familiarity, or availability during professional training. The purpose of this study was to evaluate clinical decision support tools for drug information by systematically comparing the most commonly used online drug information databases.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 8%
Australia 1 1%
Canada 1 1%
United Kingdom 1 1%
Argentina 1 1%
Saudi Arabia 1 1%
Unknown 78 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Ph. D. Student 12 13%
Student > Bachelor 10 11%
Researcher 9 10%
Other 8 9%
Other 29 32%
Unknown 9 10%
Readers by discipline Count As %
Medicine and Dentistry 35 39%
Pharmacology, Toxicology and Pharmaceutical Science 12 13%
Computer Science 9 10%
Social Sciences 6 7%
Agricultural and Biological Sciences 5 6%
Other 11 12%
Unknown 12 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2013.
All research outputs
#13,379,866
of 21,463,092 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,068
of 1,883 outputs
Outputs of similar age
#95,979
of 174,906 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 21,463,092 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,883 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 174,906 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them