| Title |
Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling
|
|---|---|
| Published in |
Journal of Big Data, February 2021
|
| DOI | 10.1186/s40537-021-00417-x |
| Authors |
Minjung Ryu, Hong-Linh Truong, Matti Kannala |
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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Professor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 35 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 30% |
| Computer Science | 6 | 8% |
| Business, Management and Accounting | 5 | 7% |
| Design | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 34 | 46% |
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 16 February 2021.
All research outputs
#18,787,616
of 23,281,392 outputs
Outputs from Journal of Big Data
#269
of 351 outputs
Outputs of similar age
#412,113
of 548,442 outputs
Outputs of similar age from Journal of Big Data
#16
of 23 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 5th percentile – i.e., 5% 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 548,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.