You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning
|
---|---|
Published in |
Parasites & Vectors, April 2020
|
DOI | 10.1186/s13071-020-04053-x |
Pubmed ID | |
Authors |
Ana Carolina Cuéllar, Lene Jung Kjær, Andreas Baum, Anders Stockmarr, Henrik Skovgard, Søren Achim Nielsen, Mats Gunnar Andersson, Anders Lindström, Jan Chirico, Renke Lühken, Sonja Steinke, Ellen Kiel, Jörn Gethmann, Franz J. Conraths, Magdalena Larska, Marcin Smreczak, Anna Orłowska, Inger Hamnes, Ståle Sviland, Petter Hopp, Katharina Brugger, Franz Rubel, Thomas Balenghien, Claire Garros, Ignace Rakotoarivony, Xavier Allène, Jonathan Lhoir, David Chavernac, Jean-Claude Delécolle, Bruno Mathieu, Delphine Delécolle, Marie-Laure Setier-Rio, Bethsabée Scheid, Miguel Ángel Miranda Chueca, Carlos Barceló, Javier Lucientes, Rosa Estrada, Alexander Mathis, Roger Venail, Wesley Tack, Rene Bødker |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 40% |
Bosnia and Herzegovina | 1 | 10% |
Ecuador | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 70% |
Scientists | 2 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 18% |
Student > Master | 7 | 11% |
Student > Ph. D. Student | 6 | 10% |
Other | 4 | 7% |
Student > Bachelor | 3 | 5% |
Other | 8 | 13% |
Unknown | 22 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 18% |
Engineering | 5 | 8% |
Veterinary Science and Veterinary Medicine | 4 | 7% |
Environmental Science | 4 | 7% |
Social Sciences | 3 | 5% |
Other | 10 | 16% |
Unknown | 24 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 April 2020.
All research outputs
#6,987,330
of 24,945,754 outputs
Outputs from Parasites & Vectors
#1,532
of 5,871 outputs
Outputs of similar age
#129,432
of 378,705 outputs
Outputs of similar age from Parasites & Vectors
#44
of 161 outputs
Altmetric has tracked 24,945,754 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 5,871 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 73% 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 378,705 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 65% of its contemporaries.
We're also able to compare this research output to 161 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 72% of its contemporaries.