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Application of lignin in controlled release: development of predictive model based on artificial neural network for API release

Overview of attention for article published in Cellulose, May 2019
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Mentioned by

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1 X user

Citations

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73 Dimensions

Readers on

mendeley
54 Mendeley
Title
Application of lignin in controlled release: development of predictive model based on artificial neural network for API release
Published in
Cellulose, May 2019
DOI 10.1007/s10570-019-02522-w
Authors

Mahboubeh Pishnamazi, Hamza Y. Ismail, Saeed Shirazian, Javed Iqbal, Gavin M. Walker, Maurice N. Collins

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

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 9%
Lecturer 5 9%
Student > Postgraduate 3 6%
Other 8 15%
Unknown 18 33%
Readers by discipline Count As %
Engineering 8 15%
Chemical Engineering 7 13%
Agricultural and Biological Sciences 4 7%
Chemistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 9 17%
Unknown 19 35%
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 28 May 2019.
All research outputs
#18,683,314
of 23,149,216 outputs
Outputs from Cellulose
#815
of 921 outputs
Outputs of similar age
#261,461
of 349,805 outputs
Outputs of similar age from Cellulose
#14
of 14 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 921 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 6th percentile – i.e., 6% 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 349,805 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.