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Optimizing Chemical-Free Pretreatment for Maximizing Oil/Lipid Recovery From Transgenic Bioenergy Crops and Its Rapid Analysis Using Time Domain-NMR

Overview of attention for article published in Frontiers in Energy Research, April 2022
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1 X user

Citations

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10 Mendeley
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Title
Optimizing Chemical-Free Pretreatment for Maximizing Oil/Lipid Recovery From Transgenic Bioenergy Crops and Its Rapid Analysis Using Time Domain-NMR
Published in
Frontiers in Energy Research, April 2022
DOI 10.3389/fenrg.2022.840418
Authors

Shraddha Maitra, Stephen P. Long, Vijay Singh

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Professor 1 10%
Researcher 1 10%
Student > Master 1 10%
Unknown 2 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Chemical Engineering 1 10%
Environmental Science 1 10%
Energy 1 10%
Unknown 3 30%
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 24 May 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Frontiers in Energy Research
#1,332
of 3,446 outputs
Outputs of similar age
#361,461
of 443,472 outputs
Outputs of similar age from Frontiers in Energy Research
#85
of 466 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,446 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% 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 443,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.