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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Maximizing Impeller Power Efficiency in Gas–Solid–Liquid Stirred Vessels through Process Intensification
|
|---|---|
| Published in |
Industrial & Engineering Chemistry Research, November 2015
|
| DOI | 10.1021/acs.iecr.5b02440 |
| Authors |
Meysam Davoody, Abdul Aziz Bin Abdul Raman, Rajarathinam Parthasarathy |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 2 | 9% |
| Researcher | 2 | 9% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 6 | 26% |
| Engineering | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
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 18 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from Industrial & Engineering Chemistry Research
#7,143
of 16,942 outputs
Outputs of similar age
#323,630
of 386,425 outputs
Outputs of similar age from Industrial & Engineering Chemistry Research
#50
of 324 outputs
Altmetric has tracked 22,833,393 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 16,942 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 386,425 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 324 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.