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Microarray-based identification of antigenic variants of foot-and-mouth disease virus: a bioinformatics quality assessment

Overview of attention for article published in BMC Genomics, May 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Microarray-based identification of antigenic variants of foot-and-mouth disease virus: a bioinformatics quality assessment
Published in
BMC Genomics, May 2006
DOI 10.1186/1471-2164-7-117
Pubmed ID
Authors

Verónica Martín, Celia Perales, David Abia, Angel R Ortíz, Esteban Domingo, Carlos Briones

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Professor 7 16%
Student > Ph. D. Student 4 9%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 8 18%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 32%
Veterinary Science and Veterinary Medicine 8 18%
Medicine and Dentistry 7 16%
Biochemistry, Genetics and Molecular Biology 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 3 7%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 June 2020.
All research outputs
#5,861,695
of 23,211,181 outputs
Outputs from BMC Genomics
#2,421
of 10,725 outputs
Outputs of similar age
#19,269
of 66,381 outputs
Outputs of similar age from BMC Genomics
#12
of 31 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,725 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 66,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.