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Protein microarrays for highly parallel detection and quantitation of specific proteins and antibodies in complex solutions

Overview of attention for article published in Genome Biology, January 2001
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
patent
16 patents

Citations

dimensions_citation
803 Dimensions

Readers on

mendeley
319 Mendeley
citeulike
1 CiteULike
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Title
Protein microarrays for highly parallel detection and quantitation of specific proteins and antibodies in complex solutions
Published in
Genome Biology, January 2001
DOI 10.1186/gb-2001-2-2-research0004
Pubmed ID
Authors

Brian B Haab, Maitreya J Dunham, Patrick O Brown

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
Germany 5 2%
Portugal 3 <1%
United Kingdom 3 <1%
Belgium 3 <1%
India 2 <1%
Italy 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Other 8 3%
Unknown 284 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 85 27%
Student > Ph. D. Student 68 21%
Professor > Associate Professor 32 10%
Student > Master 29 9%
Student > Bachelor 24 8%
Other 53 17%
Unknown 28 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 41%
Biochemistry, Genetics and Molecular Biology 39 12%
Chemistry 37 12%
Engineering 24 8%
Medicine and Dentistry 12 4%
Other 35 11%
Unknown 40 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 December 2022.
All research outputs
#2,769,453
of 25,440,205 outputs
Outputs from Genome Biology
#2,159
of 4,475 outputs
Outputs of similar age
#4,475
of 114,066 outputs
Outputs of similar age from Genome Biology
#3
of 18 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,475 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 51% 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 114,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.