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Multidimensional scaling for large genomic data sets

Overview of attention for article published in BMC Bioinformatics, April 2008
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
7 CiteULike
connotea
4 Connotea
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Title
Multidimensional scaling for large genomic data sets
Published in
BMC Bioinformatics, April 2008
DOI 10.1186/1471-2105-9-179
Pubmed ID
Authors

Jengnan Tzeng, Henry Horng-Shing Lu, Wen-Hsiung Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
United States 3 2%
India 1 <1%
Norway 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 137 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Researcher 25 17%
Student > Master 16 11%
Student > Bachelor 12 8%
Professor 11 7%
Other 27 18%
Unknown 24 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 26%
Computer Science 23 16%
Biochemistry, Genetics and Molecular Biology 19 13%
Medicine and Dentistry 9 6%
Mathematics 6 4%
Other 24 16%
Unknown 28 19%
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 01 January 2023.
All research outputs
#7,714,942
of 23,462,326 outputs
Outputs from BMC Bioinformatics
#3,069
of 7,391 outputs
Outputs of similar age
#29,068
of 83,122 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 49 outputs
Altmetric has tracked 23,462,326 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 7,391 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 83,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.