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In silico and microarray-based genomic approaches to identifying potential vaccine candidates against Leptospira interrogans

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

patent
8 patents

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
84 Mendeley
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Title
In silico and microarray-based genomic approaches to identifying potential vaccine candidates against Leptospira interrogans
Published in
BMC Genomics, November 2006
DOI 10.1186/1471-2164-7-293
Pubmed ID
Authors

Hong-Liang Yang, Yong-Zhang Zhu, Jin-Hong Qin, Ping He, Xu-Cheng Jiang, Guo-Ping Zhao, Xiao-Kui Guo

Abstract

Currently available vaccines against leptospirosis are of low efficacy, have an unacceptable side-effect profile, do not induce long-term protection, and provide no cross-protection against the different serovars of pathogenic leptospira. The current major focus in leptospirosis research is to discover conserved protective antigens that may elicit longer-term protection against a broad range of Leptospira. There is a need to screen vaccine candidate genes in the genome of Leptospira interrogans.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Sri Lanka 1 1%
Brazil 1 1%
Unknown 81 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Researcher 13 15%
Student > Bachelor 11 13%
Student > Master 10 12%
Professor 4 5%
Other 17 20%
Unknown 15 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 29%
Medicine and Dentistry 11 13%
Biochemistry, Genetics and Molecular Biology 8 10%
Veterinary Science and Veterinary Medicine 8 10%
Immunology and Microbiology 7 8%
Other 5 6%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 January 2020.
All research outputs
#3,249,211
of 22,651,245 outputs
Outputs from BMC Genomics
#1,272
of 10,605 outputs
Outputs of similar age
#6,109
of 56,284 outputs
Outputs of similar age from BMC Genomics
#2
of 29 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,605 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 56,284 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.