↓ Skip to main content

How to create innovation by building the translation bridge from basic research into medicinal drugs: an industrial perspective

Overview of attention for article published in Human Genomics, March 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
136 Mendeley
citeulike
1 CiteULike
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
How to create innovation by building the translation bridge from basic research into medicinal drugs: an industrial perspective
Published in
Human Genomics, March 2013
DOI 10.1186/1479-7364-7-5
Pubmed ID
Authors

Paul G Germann, Alexander Schuhmacher, Juan Harrison, Ronald Law, Kevin Haug, Gordon Wong

Abstract

The global healthcare industry is undergoing substantial changes and adaptations to the constant decline of approved new medical entities. This decrease in internal research productivity is resulting in a major decline of patent-protected sales (patent cliff) of most of the pharmaceutical companies. Three major global adaptive trends as driving forces to cope with these challenges are evident: cut backs of internal research and development jobs in the western hemisphere (Europe and USA), following the market growth potential of Asia by building up internal or external research and development capabilities there and finally, 'early innovation hunting' with an increased focus on identifying and investing in very early innovation sources within academia and small start-up companies. Early innovation hunting can be done by different approaches: increased corporate funding, establishment of translational institutions to bridge innovation, increasing sponsored collaborations and formation of technology hunting groups for capturing very early scientific ideas and concepts. This emerging trend towards early innovation hunting demands special adaptations from both the pharmaceutical industry and basic researchers in academia to bridge the translation into new medicines which deliver innovative medicines that matters to the patient. This opinion article describes the different modalities of cross-fertilisation between basic university or publicly funded institutional research and the applied research and development activities within the pharmaceutical industry. Two key factors in this important translational bridge can be identified: preparation of both partnering organisations to open up for new and sometime disruptive ideas and creation of truly trust-based relationships between the different groups allowing long-term scientific collaborations while acknowledging that value-creating differences are an essential factor for successful collaboration building.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Belgium 1 <1%
Brazil 1 <1%
Unknown 132 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 14%
Student > Ph. D. Student 18 13%
Researcher 16 12%
Student > Doctoral Student 13 10%
Student > Bachelor 8 6%
Other 28 21%
Unknown 34 25%
Readers by discipline Count As %
Business, Management and Accounting 19 14%
Pharmacology, Toxicology and Pharmaceutical Science 14 10%
Medicine and Dentistry 13 10%
Social Sciences 11 8%
Engineering 11 8%
Other 28 21%
Unknown 40 29%
Attention Score in Context

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 26 April 2021.
All research outputs
#15,168,964
of 25,371,288 outputs
Outputs from Human Genomics
#314
of 564 outputs
Outputs of similar age
#116,204
of 207,743 outputs
Outputs of similar age from Human Genomics
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 207,743 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.