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A simple elemental continuity based model application to study the anaerobic microbial activity for the treatment of dairy manure

Overview of attention for article published in Applied Mathematical Modelling, September 2009
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Mentioned by

policy
1 policy source

Readers on

mendeley
59 Mendeley
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Article details
Title
A simple elemental continuity based model application to study the anaerobic microbial activity for the treatment of dairy manure
Published in
Applied Mathematical Modelling, September 2009
DOI 10.1016/j.apm.2008.11.019
Authors

Usama Zaher, Pramod Pandey, Shulin Chen

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 9 15%
Student > Bachelor 7 12%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Other 9 15%
Unknown 11 19%
Readers by discipline
Readers by discipline Count As %
Engineering 20 34%
Chemical Engineering 7 12%
Agricultural and Biological Sciences 7 12%
Environmental Science 5 8%
Mathematics 2 3%
Other 0 0%
Unknown 18 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 July 2010.
All research outputs
#9,516,022
of 27,783,697 outputs
Outputs from Applied Mathematical Modelling
#105
of 704 outputs
Outputs of similar age
#41,040
of 111,807 outputs
Outputs of similar age from Applied Mathematical Modelling
#1
of 2 outputs
Altmetric has tracked 27,783,697 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 704 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 57% 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 111,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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. This one has scored higher than all of them