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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phenotypic and genetic characterization of Dunaliella (Chlorophyta) from Indian salinas and their diversity
|
|---|---|
| Published in |
Aquatic Biosystems, November 2012
|
| DOI | 10.1186/2046-9063-8-27 |
| Pubmed ID | |
| Authors |
Krishna Preetha, Lijo John, Cherampillil Sukumaran Subin, Koyadan Kizhakkedath Vijayan |
| Abstract |
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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 104 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 29% |
| Student > Bachelor | 17 | 16% |
| Researcher | 12 | 11% |
| Student > Master | 8 | 8% |
| Other | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 34% |
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Environmental Science | 7 | 7% |
| Immunology and Microbiology | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 27 | 25% |
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 14 March 2022.
All research outputs
#7,147,191
of 23,339,727 outputs
Outputs from Aquatic Biosystems
#20
of 47 outputs
Outputs of similar age
#54,055
of 185,793 outputs
Outputs of similar age from Aquatic Biosystems
#2
of 2 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 47 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one scored the same or higher as 27 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 185,793 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 69% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.