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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A global set of Fourier-transformed remotely sensed covariates for the description of abiotic niche in epidemiological studies of tick vector species
|
|---|---|
| Published in |
Parasites & Vectors, July 2014
|
| DOI | 10.1186/1756-3305-7-302 |
| Pubmed ID | |
| Authors |
Agustín Estrada-Peña, Adrián Estrada-Sánchez, José de la Fuente |
| Abstract |
Correlative modelling combines observations of species occurrence with environmental variables to capture the niche of organisms. It has been argued for the use of predictors that are ecologically relevant to the target species, instead of the automatic selection of variables. Without such biological background, the forced inclusion of numerous variables can produce models that are highly inflated and biologically irrelevant. The tendency in correlative modelling is to use environmental variables that are interpolated from climate stations, or monthly estimates of remotely sensed features. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 20% |
| United Kingdom | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Portugal | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 59 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 31% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 10 | 16% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 37% |
| Environmental Science | 8 | 13% |
| Veterinary Science and Veterinary Medicine | 5 | 8% |
| Medicine and Dentistry | 4 | 6% |
| Earth and Planetary Sciences | 4 | 6% |
| Other | 6 | 10% |
| Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 June 2023.
All research outputs
#8,187,031
of 25,374,917 outputs
Outputs from Parasites & Vectors
#1,945
of 5,988 outputs
Outputs of similar age
#75,655
of 242,143 outputs
Outputs of similar age from Parasites & Vectors
#29
of 105 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 5,988 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 242,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.