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Expression profiling using a hexamer-based universal microarray

Overview of attention for article published in Nature Biotechnology, March 2004
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Mentioned by

patent
16 patents

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
3 CiteULike
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Title
Expression profiling using a hexamer-based universal microarray
Published in
Nature Biotechnology, March 2004
DOI 10.1038/nbt948
Pubmed ID
Authors

Matthew E Roth, Li Feng, Kevin J McConnell, Paul J Schaffer, Cesar E Guerra, Jason P Affourtit, Kevin R Piper, Lorri Guccione, Jayashree Hariharan, Maura J Ford, Stephen W Powell, Harish Krishnaswamy, Jennifer Lane, Lisa Guccione, Gino Intrieri, Jane S Merkel, Clotilde Perbost, Anthony Valerio, Brenda Zolla, Carol D Graham, Jonathan Hnath, Chris Michaelson, Rixin Wang, Baoge Ying, Conrad Halling, Craig E Parman, Debasish Raha, Brent Orr, Barbara Jedrzkiewicz, Ji Liao, Anton Tevelev, Martin J Mattessich, David M Kranz, Michelle Lacey, Joseph C Kaufman, Junhyong Kim, Darin R Latimer, Paul M Lizardi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 3%
Germany 1 1%
Switzerland 1 1%
Sweden 1 1%
Singapore 1 1%
United States 1 1%
Philippines 1 1%
Unknown 65 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 52%
Professor > Associate Professor 8 11%
Student > Ph. D. Student 5 7%
Professor 4 5%
Other 3 4%
Other 10 14%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 68%
Biochemistry, Genetics and Molecular Biology 7 10%
Medicine and Dentistry 2 3%
Chemistry 2 3%
Engineering 2 3%
Other 0 0%
Unknown 10 14%
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 16 July 2019.
All research outputs
#7,561,005
of 23,063,209 outputs
Outputs from Nature Biotechnology
#5,780
of 8,276 outputs
Outputs of similar age
#19,012
of 54,697 outputs
Outputs of similar age from Nature Biotechnology
#32
of 47 outputs
Altmetric has tracked 23,063,209 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 8,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.8. This one is in the 16th percentile – i.e., 16% 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 54,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.