| Title |
Photogrammetric error sources and impacts on modeling and surveying in construction engineering applications
|
|---|---|
| Published in |
Visualization in Engineering, April 2014
|
| DOI | 10.1186/2213-7459-2-2 |
| Authors |
Fei Dai, Youyi Feng, Ryan Hough |
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 % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 140 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 18% |
| Student > Bachelor | 22 | 15% |
| Student > Ph. D. Student | 17 | 12% |
| Researcher | 12 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 51 | 36% |
| Earth and Planetary Sciences | 12 | 8% |
| Environmental Science | 10 | 7% |
| Computer Science | 6 | 4% |
| Social Sciences | 3 | 2% |
| Other | 13 | 9% |
| Unknown | 47 | 33% |
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 October 2023.
All research outputs
#14,729,878
of 24,703,227 outputs
Outputs from Visualization in Engineering
#16
of 39 outputs
Outputs of similar age
#117,606
of 232,850 outputs
Outputs of similar age from Visualization in Engineering
#1
of 2 outputs
Altmetric has tracked 24,703,227 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 39 research outputs from this source. They receive a mean Attention Score of 3.8. This one scored the same or higher as 23 of them.
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 232,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them