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MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes

Overview of attention for article published in Drug Safety, January 2019
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
Title
MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes
Published in
Drug Safety, January 2019
DOI 10.1007/s40264-018-0761-0
Pubmed ID
Authors

Xi Yang, Jiang Bian, Yan Gong, William R. Hogan, Yonghui Wu

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Ph. D. Student 1 14%
Professor > Associate Professor 1 14%
Unspecified 1 14%
Unknown 1 14%
Readers by discipline Count As %
Unspecified 3 43%
Medicine and Dentistry 2 29%
Computer Science 1 14%
Unknown 1 14%

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 17 January 2019.
All research outputs
#10,106,521
of 13,232,126 outputs
Outputs from Drug Safety
#1,091
of 1,252 outputs
Outputs of similar age
#225,504
of 325,136 outputs
Outputs of similar age from Drug Safety
#22
of 32 outputs
Altmetric has tracked 13,232,126 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 11th percentile – i.e., 11% 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 325,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.