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EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarray expression data integration

Overview of attention for article published in BMC Bioinformatics, January 2008
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Mentioned by

patent
1 patent

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
7 CiteULike
connotea
5 Connotea
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Title
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarray expression data integration
Published in
BMC Bioinformatics, January 2008
DOI 10.1186/1471-2105-9-5
Pubmed ID
Authors

Javier Forment, Francisco Gilabert, Antonio Robles, Vicente Conejero, Fernando Nuez, Jose M Blanca

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
France 2 2%
Canada 2 2%
Spain 2 2%
Brazil 1 1%
Sweden 1 1%
Peru 1 1%
Norway 1 1%
Other 2 2%
Unknown 70 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 38%
Student > Ph. D. Student 18 21%
Student > Master 8 9%
Professor > Associate Professor 7 8%
Student > Bachelor 4 5%
Other 12 14%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 64%
Biochemistry, Genetics and Molecular Biology 9 10%
Medicine and Dentistry 5 6%
Psychology 3 3%
Computer Science 2 2%
Other 7 8%
Unknown 5 6%
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 26 November 2020.
All research outputs
#7,646,569
of 23,281,392 outputs
Outputs from BMC Bioinformatics
#3,071
of 7,370 outputs
Outputs of similar age
#42,437
of 158,152 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 36 outputs
Altmetric has tracked 23,281,392 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 7,370 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 158,152 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 36 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.