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From genes to functional classes in the study of biological systems

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

patent
1 patent

Readers on

mendeley
163 Mendeley
citeulike
11 CiteULike
connotea
4 Connotea
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Title
From genes to functional classes in the study of biological systems
Published in
BMC Bioinformatics, April 2007
DOI 10.1186/1471-2105-8-114
Pubmed ID
Authors

Fátima Al-Shahrour, Leonardo Arbiza, Hernán Dopazo, Jaime Huerta-Cepas, Pablo Mínguez, David Montaner, Joaquín Dopazo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
Spain 4 2%
Netherlands 2 1%
United Kingdom 2 1%
Italy 1 <1%
Costa Rica 1 <1%
Argentina 1 <1%
Portugal 1 <1%
United States 1 <1%
Other 1 <1%
Unknown 145 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 37%
Student > Ph. D. Student 31 19%
Student > Master 15 9%
Student > Doctoral Student 11 7%
Professor 9 6%
Other 21 13%
Unknown 15 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 54%
Biochemistry, Genetics and Molecular Biology 27 17%
Computer Science 14 9%
Medicine and Dentistry 8 5%
Mathematics 4 2%
Other 6 4%
Unknown 16 10%
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 05 November 2015.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#27,256
of 76,975 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 36 outputs
Altmetric has tracked 23,036,991 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 7,318 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 76,975 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 36 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.