| Title |
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks
|
|---|---|
| Published in |
Machine Intelligence Research, November 2019
|
| DOI | 10.1007/s11633-019-1203-x |
| Authors |
Chang-Hao Zhu, Jie Zhang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| China | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 26% |
| Student > Bachelor | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Researcher | 1 | 5% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 26% |
| Chemical Engineering | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Mathematics | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 47% |
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 29 June 2020.
All research outputs
#19,954,338
of 25,387,668 outputs
Outputs from Machine Intelligence Research
#186
of 444 outputs
Outputs of similar age
#275,177
of 381,304 outputs
Outputs of similar age from Machine Intelligence Research
#5
of 14 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 48th percentile – i.e., 48% 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 381,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.