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Diversity of metalloproteinases in Bothrops neuwiedi snake venom transcripts: evidences for recombination between different classes of SVMPs

Overview of attention for article published in BMC Genomic Data, November 2011
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3 X users

Citations

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Title
Diversity of metalloproteinases in Bothrops neuwiedi snake venom transcripts: evidences for recombination between different classes of SVMPs
Published in
BMC Genomic Data, November 2011
DOI 10.1186/1471-2156-12-94
Pubmed ID
Authors

Ana M Moura-da-Silva, Maria Stella Furlan, Maria Cristina Caporrino, Kathleen F Grego, José Antonio Portes-Junior, Patrícia B Clissa, Richard H Valente, Geraldo S Magalhães

Abstract

Snake venom metalloproteinases (SVMPs) are widely distributed in snake venoms and are versatile toxins, targeting many important elements involved in hemostasis, such as basement membrane proteins, clotting proteins, platelets, endothelial and inflammatory cells. The functional diversity of SVMPs is in part due to the structural organization of different combinations of catalytic, disintegrin, disintegrin-like and cysteine-rich domains, which categorizes SVMPs in 3 classes of precursor molecules (PI, PII and PIII) further divided in 11 subclasses, 6 of them belonging to PII group. This heterogeneity is currently correlated to genetic accelerated evolution and post-translational modifications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Sudan 1 1%
Brazil 1 1%
Unknown 84 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 18 21%
Researcher 15 17%
Student > Bachelor 10 11%
Student > Doctoral Student 5 6%
Other 9 10%
Unknown 12 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 51%
Biochemistry, Genetics and Molecular Biology 14 16%
Veterinary Science and Veterinary Medicine 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Immunology and Microbiology 2 2%
Other 7 8%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 February 2019.
All research outputs
#16,721,208
of 25,371,288 outputs
Outputs from BMC Genomic Data
#606
of 1,204 outputs
Outputs of similar age
#103,947
of 153,810 outputs
Outputs of similar age from BMC Genomic Data
#5
of 16 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 45th percentile – i.e., 45% 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 153,810 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 16 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 68% of its contemporaries.