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GeneRank: Using search engine technology for the analysis of microarray experiments

Overview of attention for article published in BMC Bioinformatics, September 2005
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
209 Dimensions

Readers on

mendeley
194 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
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Title
GeneRank: Using search engine technology for the analysis of microarray experiments
Published in
BMC Bioinformatics, September 2005
DOI 10.1186/1471-2105-6-233
Pubmed ID
Authors

Julie L Morrison, Rainer Breitling, Desmond J Higham, David R Gilbert

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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 5 3%
Colombia 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Other 5 3%
Unknown 171 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 27%
Researcher 42 22%
Student > Master 22 11%
Student > Bachelor 12 6%
Professor > Associate Professor 11 6%
Other 34 18%
Unknown 21 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 36%
Computer Science 47 24%
Biochemistry, Genetics and Molecular Biology 16 8%
Mathematics 8 4%
Engineering 7 4%
Other 17 9%
Unknown 30 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 February 2017.
All research outputs
#6,966,427
of 22,844,985 outputs
Outputs from BMC Bioinformatics
#2,685
of 7,289 outputs
Outputs of similar age
#19,586
of 59,175 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 20 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,289 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 59,175 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 65% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.