| Title |
Module-based machinery design: a method to support the design of modular machine families for reconfigurable manufacturing systems
|
|---|---|
| Published in |
The International Journal of Advanced Manufacturing Technology, March 2019
|
| DOI | 10.1007/s00170-019-03358-1 |
| Authors |
Leandro Gauss, Daniel Pacheco Lacerda, Miguel Afonso Sellitto |
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 % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 6 | 12% |
| Researcher | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 44% |
| Agricultural and Biological Sciences | 2 | 4% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 21 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 May 2019.
All research outputs
#14,374,203
of 23,794,258 outputs
Outputs from The International Journal of Advanced Manufacturing Technology
#888
of 1,230 outputs
Outputs of similar age
#189,262
of 355,533 outputs
Outputs of similar age from The International Journal of Advanced Manufacturing Technology
#14
of 16 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,230 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 26th percentile – i.e., 26% 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 355,533 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.