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Phenotypic and genetic characterization of Dunaliella (Chlorophyta) from Indian salinas and their diversity

Overview of attention for article published in Aquatic Biosystems, January 2012
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

1 tweeter
1 Wikipedia page


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Readers on

61 Mendeley
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Phenotypic and genetic characterization of Dunaliella (Chlorophyta) from Indian salinas and their diversity
Published in
Aquatic Biosystems, January 2012
DOI 10.1186/2046-9063-8-27
Pubmed ID

Krishna Preetha, Lijo John, Cherampillil Subin, Koyadan Vijayan


The genus Dunaliella (Class - Chlorophyceae) is widely studied for its tolerance to extreme habitat conditions, physiological aspects and many biotechnological applications, such as a source of carotenoids and many other bioactive compounds. Biochemical and molecular characterization is very much essential to fully explore the properties and possibilities of the new isolates of Dunaliella. In India, hyper saline lakes and salt pans were reported to bloom with Dunaliella spp. However, except for the economically important D. salina, other species are rarely characterized taxonomically from India. Present study was conducted to describe Dunaliella strains from Indian salinas using a combined morphological, physiological and molecular approach with an aim to have a better understanding on the taxonomy and diversity of this genus from India.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Singapore 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 38%
Student > Bachelor 10 16%
Researcher 6 10%
Student > Master 5 8%
Other 4 7%
Other 9 15%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 46%
Biochemistry, Genetics and Molecular Biology 10 16%
Environmental Science 7 11%
Engineering 2 3%
Business, Management and Accounting 1 2%
Other 7 11%
Unknown 6 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 April 2019.
All research outputs
of 13,628,925 outputs
Outputs from Aquatic Biosystems
of 47 outputs
Outputs of similar age
of 147,751 outputs
Outputs of similar age from Aquatic Biosystems
of 1 outputs
Altmetric has tracked 13,628,925 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 47 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 29 of them.
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 147,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them