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Reliability, ease of use and usefulness of I-MeDeSA for evaluating drug-drug interaction alerts in an Australian context

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2018
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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23 Mendeley
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Title
Reliability, ease of use and usefulness of I-MeDeSA for evaluating drug-drug interaction alerts in an Australian context
Published in
BMC Medical Informatics and Decision Making, October 2018
DOI 10.1186/s12911-018-0666-y
Pubmed ID
Authors

Melissa T Baysari, David Lowenstein, Wu Yi Zheng, Richard O Day

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 13%
Student > Bachelor 3 13%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 9%
Other 2 9%
Other 5 22%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Nursing and Health Professions 2 9%
Computer Science 2 9%
Business, Management and Accounting 1 4%
Other 2 9%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 October 2018.
All research outputs
#15,680,078
of 23,301,510 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,338
of 2,024 outputs
Outputs of similar age
#216,822
of 345,150 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 24 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 345,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.