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Analysis of regulatory protease sequences identified through bioinformatic data mining of the Schistosoma mansoni genome

Overview of attention for article published in BMC Genomics, October 2009
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Title
Analysis of regulatory protease sequences identified through bioinformatic data mining of the Schistosoma mansoni genome
Published in
BMC Genomics, October 2009
DOI 10.1186/1471-2164-10-488
Pubmed ID
Authors

David H Bos, Chris Mayfield, Dennis J Minchella

Abstract

New chemotherapeutic agents against Schistosoma mansoni, an etiological agent of human schistosomiasis, are a priority due to the emerging drug resistance and the inability of current drug treatments to prevent reinfection. Proteases have been under scrutiny as targets of immunological or chemotherapeutic anti-Schistosoma agents because of their vital role in many stages of the parasitic life cycle. Function has been established for only a handful of identified S. mansoni proteases, and the vast majority of these are the digestive proteases; very few of the conserved classes of regulatory proteases have been identified from Schistosoma species, despite their vital role in numerous cellular processes. To that end, we identified protease protein coding genes from the S. mansoni genome project and EST library.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Colombia 1 2%
Switzerland 1 2%
Cameroon 1 2%
Russia 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 6 13%
Professor > Associate Professor 6 13%
Student > Bachelor 4 9%
Student > Doctoral Student 4 9%
Other 10 21%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 49%
Biochemistry, Genetics and Molecular Biology 6 13%
Medicine and Dentistry 4 9%
Computer Science 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 July 2017.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#38,166
of 107,521 outputs
Outputs of similar age from BMC Genomics
#22
of 55 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 107,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.