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Overview of attention for article published in Journal of Biomedical Discovery and Collaboration, January 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

1 Wikipedia page

Readers on

89 Mendeley
2 CiteULike
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Published in
Journal of Biomedical Discovery and Collaboration, January 2006
DOI 10.1186/1747-5333-1-11
Pubmed ID

Tim Lenoir, Eric Giannella


The network model of innovation widely adopted among researchers in the economics of science and technology posits relatively porous boundaries between firms and academic research programs and a bi-directional flow of inventions, personnel, and tacit knowledge between sites of university and industry innovation. Moreover, the model suggests that these bi-directional flows should be considered as mutual stimulation of research and invention in both industry and academe, operating as a positive feedback loop. One side of this bi-directional flow--namely; the flow of inventions into industry through the licensing of university-based technologies--has been well studied; but the reverse phenomenon of the stimulation of university research through the absorption of new directions emanating from industry has yet to be investigated in much detail. We discuss the role of federal funding of academic research in the microarray field, and the multiple pathways through which federally supported development of commercial microarray technologies have transformed core academic research fields.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
United States 3 3%
United Kingdom 2 2%
Unknown 81 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 24%
Researcher 20 22%
Student > Bachelor 14 16%
Student > Master 7 8%
Professor > Associate Professor 5 6%
Other 17 19%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 42%
Biochemistry, Genetics and Molecular Biology 17 19%
Business, Management and Accounting 5 6%
Social Sciences 4 4%
Medicine and Dentistry 3 3%
Other 17 19%
Unknown 6 7%

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 03 May 2013.
All research outputs
of 12,444,666 outputs
Outputs from Journal of Biomedical Discovery and Collaboration
of 12 outputs
Outputs of similar age
of 266,844 outputs
Outputs of similar age from Journal of Biomedical Discovery and Collaboration
of 1 outputs
Altmetric has tracked 12,444,666 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 8 of them.
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 266,844 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 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them