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Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, December 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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6 X users

Citations

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62 Dimensions

Readers on

mendeley
217 Mendeley
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Title
Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication
Published in
Frontiers in Bioengineering and Biotechnology, December 2019
DOI 10.3389/fbioe.2019.00396
Pubmed ID
Authors

Shir Reen Chia, Kit Wayne Chew, Hayyiratul Fatimah Mohd Zaid, Dinh-Toi Chu, Yang Tao, Pau Loke Show

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 217 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 13%
Student > Master 22 10%
Student > Bachelor 21 10%
Researcher 14 6%
Student > Postgraduate 7 3%
Other 31 14%
Unknown 93 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 15%
Biochemistry, Genetics and Molecular Biology 16 7%
Chemical Engineering 16 7%
Chemistry 12 6%
Engineering 11 5%
Other 24 11%
Unknown 105 48%
Attention Score in Context

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 10 December 2019.
All research outputs
#6,914,032
of 23,179,757 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,057
of 6,867 outputs
Outputs of similar age
#147,709
of 458,550 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#42
of 178 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,867 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 458,550 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 67% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.