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Attention Score in Context
| Title |
Repeatability analysis of airborne electromagnetic surveys
|
|---|---|
| Published in |
Mathematics-in-Industry Case Studies, September 2016
|
| DOI | 10.1186/s40929-016-0008-1 |
| Pubmed ID | |
| Authors |
Avril Hegarty, Gerry Stanley, Eugene Kashdan, Jim Hodgson, Andrew C. Parnell |
| Abstract |
We provide methods for determining the repeatability of airborne electromagnetic surveys when conducted at different altitudes over a number of repeated flights. Our data arise from the TELLUS project carried out by the Geological Surveys of Ireland and Northern Ireland and we examine the repeatability of the apparent resistivity at different frequencies. After considering a number of issues with the data, we propose two different models from the functional data analysis literature; a Weiner process with random effects, and a penalised spline smoother. Both methods arrive at the same conclusion regarding repeatability of the data; results obtained are more repeatable for flights at lower altitudes. The target altitude for aircraft carrying out airborne electromagnetic surveys should be as low as possible. |
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 % |
|---|---|---|
| Ireland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Lecturer | 1 | 17% |
| Other | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 3 | 50% |
| Mathematics | 2 | 33% |
| Unknown | 1 | 17% |
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 15 September 2016.
All research outputs
#14,272,223
of 22,888,307 outputs
Outputs from Mathematics-in-Industry Case Studies
#4
of 4 outputs
Outputs of similar age
#189,676
of 330,063 outputs
Outputs of similar age from Mathematics-in-Industry Case Studies
#2
of 2 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4 research outputs from this source. They receive a mean Attention Score of 2.7. This one scored the same or higher as 0 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 330,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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.