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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates
|
|---|---|
| Published in |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, May 2022
|
| DOI | 10.1109/jstars.2022.3177025 |
| Authors |
Savinay Nagendra, Daniel Kifer, Benjamin Mirus, Te Pei, Kathryn Lawson, Srikanth Banagere Manjunatha, Weixin Li, Hien Nguyen, Tong Qiu, Sarah Tran, Chaopeng Shen |
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 | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 14% |
| Student > Postgraduate | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Unspecified | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 29% |
| Environmental Science | 1 | 7% |
| Unspecified | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 43% |
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 25 May 2022.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
#620
of 829 outputs
Outputs of similar age
#263,786
of 444,149 outputs
Outputs of similar age from IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
#10
of 20 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 829 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 15th percentile – i.e., 15% 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 444,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.