You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of in-mold sensors and machine data towards enhancing product quality and process monitoring via Industry 4.0
|
|---|---|
| Published in |
The International Journal of Advanced Manufacturing Technology, September 2019
|
| DOI | 10.1007/s00170-019-04323-8 |
| Authors |
Saeed Farahani, Nathaniel Brown, Jonathan Loftis, Curtis Krick, Florian Pichl, Robert Vaculik, Srikanth Pilla |
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 States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Researcher | 10 | 13% |
| Student > Master | 8 | 11% |
| Professor | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 31 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 29% |
| Computer Science | 4 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Unspecified | 2 | 3% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 38 | 51% |
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 03 September 2019.
All research outputs
#14,050,687
of 23,794,258 outputs
Outputs from The International Journal of Advanced Manufacturing Technology
#875
of 1,230 outputs
Outputs of similar age
#172,623
of 342,150 outputs
Outputs of similar age from The International Journal of Advanced Manufacturing Technology
#7
of 12 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 27th percentile – i.e., 27% 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 342,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.