↓ Skip to main content

Identification of significant periodic genes in microarray gene expression data

Overview of attention for article published in BMC Bioinformatics, November 2005
Altmetric Badge

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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
15 Mendeley
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of significant periodic genes in microarray gene expression data
Published in
BMC Bioinformatics, November 2005
DOI 10.1186/1471-2105-6-286
Pubmed ID
Authors

Jie Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 20%
Student > Doctoral Student 2 13%
Professor 2 13%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 2 13%
Engineering 2 13%
Agricultural and Biological Sciences 1 7%
Mathematics 1 7%
Other 2 13%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 May 2008.
All research outputs
#4,729,103
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#1,789
of 7,377 outputs
Outputs of similar age
#18,380
of 147,735 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 18 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 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 done well, scoring higher than 75% 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 147,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% 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 77% of its contemporaries.