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Designing concept maps for a precise and objective description of pharmaceutical innovations

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2013
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Mentioned by

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7 X users

Citations

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10 Dimensions

Readers on

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24 Mendeley
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1 CiteULike
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Title
Designing concept maps for a precise and objective description of pharmaceutical innovations
Published in
BMC Medical Informatics and Decision Making, January 2013
DOI 10.1186/1472-6947-13-10
Pubmed ID
Authors

Maia Iordatii, Alain Venot, Catherine Duclos

Abstract

When a new drug is launched onto the market, information about the new manufactured product is contained in its monograph and evaluation report published by national drug agencies. Health professionals need to be able to determine rapidly and easily whether the new manufactured product is potentially useful for their practice. There is therefore a need to identify the best way to group together and visualize the main items of information describing the nature and potential impact of the new drug. The objective of this study was to identify these items of information and to bring them together in a model that could serve as the standard for presenting the main features of new manufactured product.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 8%
Colombia 1 4%
Bolivia, Plurinational State of 1 4%
Unknown 20 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Master 4 17%
Other 3 13%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 4 17%
Unknown 5 21%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Business, Management and Accounting 3 13%
Computer Science 3 13%
Agricultural and Biological Sciences 2 8%
Arts and Humanities 1 4%
Other 6 25%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 January 2013.
All research outputs
#7,878,286
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#791
of 2,030 outputs
Outputs of similar age
#88,456
of 290,159 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 42 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 290,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.