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The Schistosoma mansoni phylome: using evolutionary genomics to gain insight into a parasite’s biology

Overview of attention for article published in BMC Genomics, November 2012
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Title
The Schistosoma mansoni phylome: using evolutionary genomics to gain insight into a parasite’s biology
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-617
Pubmed ID
Authors

Larissa Lopes Silva, Marina Marcet-Houben, Laila Alves Nahum, Adhemar Zerlotini, Toni Gabaldón, Guilherme Oliveira

Abstract

Schistosoma mansoni is one of the causative agents of schistosomiasis, a neglected tropical disease that affects about 237 million people worldwide. Despite recent efforts, we still lack a general understanding of the relevant host-parasite interactions, and the possible treatments are limited by the emergence of resistant strains and the absence of a vaccine. The S. mansoni genome was completely sequenced and still under continuous annotation. Nevertheless, more than 45% of the encoded proteins remain without experimental characterization or even functional prediction. To improve our knowledge regarding the biology of this parasite, we conducted a proteome-wide evolutionary analysis to provide a broad view of the S. mansoni's proteome evolution and to improve its functional annotation.

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
United Kingdom 2 2%
Uruguay 1 1%
Taiwan 1 1%
Spain 1 1%
United States 1 1%
Unknown 78 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 16 19%
Student > Master 12 14%
Professor 7 8%
Student > Postgraduate 6 7%
Other 16 19%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 45%
Biochemistry, Genetics and Molecular Biology 15 17%
Computer Science 4 5%
Medicine and Dentistry 3 3%
Immunology and Microbiology 3 3%
Other 10 12%
Unknown 12 14%
Attention Score in Context

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 19 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Genomics
#6,660
of 10,616 outputs
Outputs of similar age
#112,667
of 179,099 outputs
Outputs of similar age from BMC Genomics
#95
of 146 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 179,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.