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Comparative genomics and transcriptomics of trait-gene association

Overview of attention for article published in BMC Genomics, January 2012
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Mentioned by

twitter
2 tweeters

Citations

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16 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
1 CiteULike
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Title
Comparative genomics and transcriptomics of trait-gene association
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-669
Pubmed ID
Authors

Sebastián Pierlé, Michael J Dark, Dani Dahmen, Guy H Palmer, Kelly A Brayton

Abstract

The Order Rickettsiales includes important tick-borne pathogens, from Rickettsia rickettsii, which causes Rocky Mountain spotted fever, to Anaplasma marginale, the most prevalent vector-borne pathogen of cattle. Although most pathogens in this Order are transmitted by arthropod vectors, little is known about the microbial determinants of transmission. A. marginale provides unique tools for studying the determinants of transmission, with multiple strain sequences available that display distinct and reproducible transmission phenotypes. The closed core A. marginale genome suggests that any phenotypic differences are due to single nucleotide polymorphisms (SNPs). We combined DNA/RNA comparative genomic approaches using strains with different tick transmission phenotypes and identified genes that segregate with transmissibility.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
India 1 1%
Egypt 1 1%
Mexico 1 1%
United States 1 1%
Unknown 62 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 30%
Researcher 17 25%
Student > Master 8 12%
Student > Doctoral Student 5 7%
Student > Bachelor 3 4%
Other 9 13%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 63%
Economics, Econometrics and Finance 5 7%
Environmental Science 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Medicine and Dentistry 2 3%
Other 6 9%
Unknown 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 November 2012.
All research outputs
#9,480,174
of 12,378,687 outputs
Outputs from BMC Genomics
#5,222
of 7,251 outputs
Outputs of similar age
#173,265
of 263,717 outputs
Outputs of similar age from BMC Genomics
#149
of 211 outputs
Altmetric has tracked 12,378,687 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 263,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.