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Using large-scale perturbations in gene network reconstruction

Overview of attention for article published in BMC Bioinformatics, January 2005
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Mentioned by

patent
1 patent

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
50 Mendeley
connotea
1 Connotea
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Title
Using large-scale perturbations in gene network reconstruction
Published in
BMC Bioinformatics, January 2005
DOI 10.1186/1471-2105-6-11
Pubmed ID
Authors

Thomas MacCarthy, Andrew Pomiankowski, Robert Seymour

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 8%
France 1 2%
Latvia 1 2%
Portugal 1 2%
United Kingdom 1 2%
Taiwan 1 2%
Mexico 1 2%
United States 1 2%
Unknown 39 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 32%
Student > Ph. D. Student 9 18%
Professor > Associate Professor 6 12%
Professor 4 8%
Student > Master 4 8%
Other 9 18%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 46%
Computer Science 9 18%
Biochemistry, Genetics and Molecular Biology 4 8%
Engineering 4 8%
Medicine and Dentistry 2 4%
Other 6 12%
Unknown 2 4%
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 04 September 2007.
All research outputs
#8,475,076
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#3,213
of 7,672 outputs
Outputs of similar age
#40,249
of 154,435 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 39 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 154,435 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.