| Title |
Real-Time Video Surveillance Based Structural Health Monitoring of Civil Structures Using Artificial Neural Network
|
|---|---|
| Published in |
Journal of Nondestructive Evaluation, July 2019
|
| DOI | 10.1007/s10921-019-0601-x |
| Authors |
Moushumi Medhi, Aradhana Dandautiya, Jagdish Lal Raheja |
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 % |
|---|---|---|
| United States | 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 21 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 24% |
| Computer Science | 6 | 13% |
| Business, Management and Accounting | 2 | 4% |
| Earth and Planetary Sciences | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 22 | 49% |
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 12 August 2019.
All research outputs
#18,687,330
of 23,153,849 outputs
Outputs from Journal of Nondestructive Evaluation
#144
of 242 outputs
Outputs of similar age
#259,844
of 348,826 outputs
Outputs of similar age from Journal of Nondestructive Evaluation
#5
of 20 outputs
Altmetric has tracked 23,153,849 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 242 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% 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 348,826 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.