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Nearest Neighbor Networks: clustering expression data based on gene neighborhoods

Overview of attention for article published in BMC Bioinformatics, July 2007
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Mentioned by

patent
1 patent

Citations

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62 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
8 CiteULike
connotea
3 Connotea
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Title
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Published in
BMC Bioinformatics, July 2007
DOI 10.1186/1471-2105-8-250
Pubmed ID
Authors

Curtis Huttenhower, Avi I Flamholz, Jessica N Landis, Sauhard Sahi, Chad L Myers, Kellen L Olszewski, Matthew A Hibbs, Nathan O Siemers, Olga G Troyanskaya, Hilary A Coller

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 8%
France 1 1%
Brazil 1 1%
India 1 1%
Chile 1 1%
Spain 1 1%
United Kingdom 1 1%
Japan 1 1%
Philippines 1 1%
Other 0 0%
Unknown 72 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 31%
Researcher 20 23%
Professor > Associate Professor 12 14%
Student > Master 5 6%
Student > Bachelor 4 5%
Other 11 13%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 48%
Computer Science 17 20%
Biochemistry, Genetics and Molecular Biology 9 10%
Engineering 3 3%
Physics and Astronomy 2 2%
Other 6 7%
Unknown 8 9%
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 30 September 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#3,075
of 7,383 outputs
Outputs of similar age
#24,807
of 68,644 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 44 outputs
Altmetric has tracked 23,310,485 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 7,383 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 50% 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 68,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.