The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
|
|---|---|
| Published in |
Agricultural & Forest Meteorology, October 2021
|
| DOI | 10.1016/j.agrformet.2021.108528 |
| Authors |
Jeremy Irvin, Sharon Zhou, Gavin McNicol, Fred Lu, Vincent Liu, Etienne Fluet-Chouinard, Zutao Ouyang, Sara Helen Knox, Antje Lucas-Moffat, Carlo Trotta, Dario Papale, Domenico Vitale, Ivan Mammarella, Pavel Alekseychik, Mika Aurela, Anand Avati, Dennis Baldocchi, Sheel Bansal, Gil Bohrer, David I Campbell, Jiquan Chen, Housen Chu, Higo J Dalmagro, Kyle B Delwiche, Ankur R Desai, Eugenie Euskirchen, Sarah Feron, Mathias Goeckede, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S Hemes, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, Aram Kalhori, Andrew Kondrich, Derrick YF Lai, Annalea Lohila, Avni Malhotra, Lutz Merbold, Bhaskar Mitra, Andrew Ng, Mats B Nilsson, Asko Noormets, Matthias Peichl, A. Camilo Rey-Sanchez, Andrew D Richardson, Benjamin RK Runkle, Karina VR Schäfer, Oliver Sonnentag, Ellen Stuart-Haëntjens, Cove Sturtevant, Masahito Ueyama, Alex C Valach, Rodrigo Vargas, George L Vourlitis, Eric J Ward, Guan Xhuan Wong, Donatella Zona, Ma. Carmelita R Alberto, David P Billesbach, Gerardo Celis, Han Dolman, Thomas Friborg, Kathrin Fuchs, Sébastien Gogo, Mangaliso J Gondwe, Jordan P Goodrich, Pia Gottschalk, Lukas Hörtnagl, Adrien Jacotot, Franziska Koebsch, Kuno Kasak, Regine Maier, Timothy H Morin, Eiko Nemitz, Walter C Oechel, Patricia Y Oikawa, Keisuke Ono, Torsten Sachs, Ayaka Sakabe, Edward A Schuur, Robert Shortt, Ryan C Sullivan, Daphne J Szutu, Eeva-Stiina Tuittila, Andrej Varlagin, Joeseph G Verfaillie, Christian Wille, Lisamarie Windham-Myers, Benjamin Poulter, Robert B Jackson |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 18% |
| United Kingdom | 1 | 3% |
| Canada | 1 | 3% |
| Finland | 1 | 3% |
| South Africa | 1 | 3% |
| Netherlands | 1 | 3% |
| Tunisia | 1 | 3% |
| Unknown | 22 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 50% |
| Members of the public | 16 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 18% |
| Student > Ph. D. Student | 22 | 17% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Student > Bachelor | 6 | 5% |
| Other | 14 | 11% |
| Unknown | 48 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 30 | 23% |
| Agricultural and Biological Sciences | 13 | 10% |
| Earth and Planetary Sciences | 11 | 8% |
| Computer Science | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 12 | 9% |
| Unknown | 57 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 13 June 2022.
All research outputs
#1,874,320
of 26,558,362 outputs
Outputs from Agricultural & Forest Meteorology
#120
of 2,385 outputs
Outputs of similar age
#41,760
of 442,878 outputs
Outputs of similar age from Agricultural & Forest Meteorology
#7
of 94 outputs
Altmetric has tracked 26,558,362 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,385 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 94% 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 442,878 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 90% of its contemporaries.
We're also able to compare this research output to 94 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.