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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Speaking their language – Development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders
|
|---|---|
| Published in |
Environmental Modelling & Software, January 2021
|
| DOI | 10.1016/j.envsoft.2020.104900 |
| Authors |
Gordon H. Copp, Lorenzo Vilizzi, Hui Wei, Shan Li, Marina Piria, Abbas J. Al-Faisal, David Almeida, Usman Atique, Zainab Al-Wazzan, Rigers Bakiu, Tea Bašić, Thuyet D. Bui, João Canning-Clode, Nuno Castro, Ratcha Chaichana, Tülin Çoker, Dimitriy Dashinov, F. Güler Ekmekçi, Tibor Erős, Árpád Ferincz, Teresa Ferreira, Daniela Giannetto, Allan S. Gilles, Łukasz Głowacki, Philippe Goulletquer, Elena Interesova, Sonia Iqbal, Katarína Jakubčinová, Kamalaporn Kanongdate, Jeong-Eun Kim, Oldřich Kopecký, Vasil Kostov, Nicholas Koutsikos, Sebastian Kozic, Petra Kristan, Yoshihisa Kurita, Hwang-Goo Lee, Rob S.E.W. Leuven, Tatsiana Lipinskaya, Juliane Lukas, Agnese Marchini, Ana Isabel González Martínez, Laurence Masson, Daniyar Memedemin, Seyed Daryoush Moghaddas, João Monteiro, Levan Mumladze, Rahmat Naddafi, Ion Năvodaru, Karin H. Olsson, Norio Onikura, Daniele Paganelli, Richard Thomas Pavia, Costas Perdikaris, Renanel Pickholtz, Dariusz Pietraszewski, Meta Povž, Cristina Preda, Milica Ristovska, Karin Rosíková, José Maria Santos, Vitaliy Semenchenko, Wansuk Senanan, Predrag Simonović, Evangelia Smeti, Barbora Števove, Kristína Švolíková, Kieu Anh T. Ta, Ali Serhan Tarkan, Nildeniz Top, Elena Tricarico, Eliza Uzunova, Leonidas Vardakas, Hugo Verreycken, Grzegorz Zięba, Roberto Mendoza |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 3 | 23% |
| United Kingdom | 2 | 15% |
| Sweden | 1 | 8% |
| Denmark | 1 | 8% |
| Belgium | 1 | 8% |
| Portugal | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 17% |
| Student > Ph. D. Student | 8 | 9% |
| Other | 6 | 6% |
| Student > Master | 6 | 6% |
| Professor | 4 | 4% |
| Other | 16 | 17% |
| Unknown | 38 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 18% |
| Environmental Science | 15 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 11 | 12% |
| Unknown | 45 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 20 October 2021.
All research outputs
#1,727,397
of 25,387,668 outputs
Outputs from Environmental Modelling & Software
#63
of 1,539 outputs
Outputs of similar age
#46,676
of 519,474 outputs
Outputs of similar age from Environmental Modelling & Software
#3
of 41 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,539 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 95% 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 519,474 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.