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Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis

Overview of attention for article published in BMC Bioinformatics, January 2006
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
111 Mendeley
citeulike
5 CiteULike
connotea
3 Connotea
Title
Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis
Published in
BMC Bioinformatics, January 2006
DOI 10.1186/1471-2105-7-2
Pubmed ID
Authors

Pall F Jonsson, Tamara Cavanna, Daniel Zicha, Paul A Bates

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 4%
United States 4 4%
United Kingdom 3 3%
Italy 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 94 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 25 23%
Student > Master 17 15%
Professor > Associate Professor 8 7%
Professor 7 6%
Other 15 14%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 32%
Computer Science 24 22%
Biochemistry, Genetics and Molecular Biology 14 13%
Mathematics 5 5%
Business, Management and Accounting 4 4%
Other 14 13%
Unknown 15 14%
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 11 September 2017.
All research outputs
#7,539,423
of 23,001,641 outputs
Outputs from BMC Bioinformatics
#3,037
of 7,312 outputs
Outputs of similar age
#40,366
of 155,190 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 39 outputs
Altmetric has tracked 23,001,641 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 7,312 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 155,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.