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Global Implications of the EU’s Pharmacovigilance System Master File Requirements: Newly Developed Decision Trees to Distinguish Different Study Types

Overview of attention for article published in Pharmaceutical Medicine, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
5 Mendeley
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Title
Global Implications of the EU’s Pharmacovigilance System Master File Requirements: Newly Developed Decision Trees to Distinguish Different Study Types
Published in
Pharmaceutical Medicine, October 2015
DOI 10.1007/s40290-015-0116-4
Authors

Stefan T. Kaehler, Neil Minton, Nancy Walsh, David Gillen, Robert Bwire, John Freeman

Twitter Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Professor > Associate Professor 1 20%
Researcher 1 20%
Other 1 20%
Readers by discipline Count As %
Engineering 2 40%
Medicine and Dentistry 2 40%
Business, Management and Accounting 1 20%

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 18 November 2015.
All research outputs
#7,037,316
of 12,468,039 outputs
Outputs from Pharmaceutical Medicine
#37
of 63 outputs
Outputs of similar age
#139,711
of 338,875 outputs
Outputs of similar age from Pharmaceutical Medicine
#2
of 2 outputs
Altmetric has tracked 12,468,039 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 63 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 41st percentile – i.e., 41% 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 338,875 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.