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Bioinformatic analysis of beta carbonic anhydrase sequences from protozoans and metazoans

Overview of attention for article published in Parasites & Vectors, January 2014
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Mentioned by

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1 X user

Citations

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31 Dimensions

Readers on

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48 Mendeley
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1 CiteULike
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Title
Bioinformatic analysis of beta carbonic anhydrase sequences from protozoans and metazoans
Published in
Parasites & Vectors, January 2014
DOI 10.1186/1756-3305-7-38
Pubmed ID
Authors

Reza Zolfaghari Emameh, Harlan Barker, Martti E E Tolvanen, Csaba Ortutay, Seppo Parkkila

Abstract

Despite the high prevalence of parasitic infections, and their impact on global health and economy, the number of drugs available to treat them is extremely limited. As a result, the potential consequences of large-scale resistance to any existing drugs are a major concern. A number of recent investigations have focused on the effects of potential chemical inhibitors on bacterial and fungal carbonic anhydrases. Among the five classes of carbonic anhydrases (alpha, beta, gamma, delta and zeta), beta carbonic anhydrases have been reported in most species of bacteria, yeasts, algae, plants, and particular invertebrates (nematodes and insects). To date, there has been a lack of knowledge on the expression and molecular structure of beta carbonic anhydrases in metazoan (nematodes and arthropods) and protozoan species.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Other 6 13%
Student > Postgraduate 5 10%
Student > Master 4 8%
Researcher 3 6%
Other 7 15%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Biochemistry, Genetics and Molecular Biology 11 23%
Medicine and Dentistry 3 6%
Computer Science 3 6%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 12 25%
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 September 2014.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Parasites & Vectors
#3,793
of 5,988 outputs
Outputs of similar age
#202,605
of 321,172 outputs
Outputs of similar age from Parasites & Vectors
#58
of 99 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,988 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 28th percentile – i.e., 28% 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 321,172 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 99 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.