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Event reconstruction for KM3NeT/ORCA using convolutional neural networks

Overview of attention for article published in Journal of Instrumentation, October 2020
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Article details
Title
Event reconstruction for KM3NeT/ORCA using convolutional neural networks
Published in
Journal of Instrumentation, October 2020
DOI 10.1088/1748-0221/15/10/p10005
Authors

S. Aiello, A. Albert, S. Alves Garre, Z. Aly, F. Ameli, M. Andre, G. Androulakis, M. Anghinolfi, M. Anguita, G. Anton, M. Ardid, J. Aublin, C. Bagatelas, G. Barbarino, B. Baret, S. Basegmez du Pree, M. Bendahman, E. Berbee, A.M. van den Berg, V. Bertin, S. Biagi, A. Biagioni, M. Bissinger, M. Boettcher, J. Boumaaza, M. Bouta, M. Bouwhuis, C. Bozza, H. Brânzaş, R. Bruijn, J. Brunner, E. Buis, R. Buompane, J. Busto, B. Caiffi, D. Calvo, A. Capone, V. Carretero, P. Castaldi, S. Celli, M. Chabab, N. Chau, A. Chen, S. Cherubini, V. Chiarella, T. Chiarusi, M. Circella, R. Cocimano, J.A.B. Coelho, A. Coleiro, M. Colomer Molla, R. Coniglione, P. Coyle, A. Creusot, G. Cuttone, A. D'Onofrio, R. Dallier, M. De Palma, I. Di Palma, A.F. Díaz, D. Diego-Tortosa, C. Distefano, A. Domi, R. Donà, C. Donzaud, D. Dornic, M. Dörr, D. Drouhin, T. Eberl, A. Eddyamoui, T. van Eeden, D. van Eijk, I. El Bojaddaini, D. Elsaesser, A. Enzenhöfer, V. Espinosa Roselló, P. Fermani, G. Ferrara, M. D. Filipović, F. Filippini, L.A. Fusco, O. Gabella, T. Gal, A. Garcia Soto, F. Garufi, Y. Gatelet, N. Geißelbrecht, L. Gialanella, E. Giorgio, S.R. Gozzini, R. Gracia, K. Graf, D. Grasso, G. Grella, D. Guderian, C. Guidi, S. Hallmann, H. Hamdaoui, H. van Haren, A. Heijboer, A. Hekalo, J.J. Hernández-Rey, J. Hofestädt, F. Huang, W. Idrissi Ibnsalih, G. Illuminati, C.W. James, M. de Jong, P. de Jong, B.J. Jung, M. Kadler, P. Kalaczyński, O. Kalekin, U.F. Katz, N.R Khan Chowdhury, G. Kistauri, F. van der Knaap, E.N. Koffeman, P. Kooijman, A. Kouchner, M. Kreter, V. Kulikovskiy, R. Lahmann, G. Larosa, R. Le Breton, O. Leonardi, F. Leone, E. Leonora, G. Levi, M. Lincetto, M. Lindsey Clark, T. Lipreau, A. Lonardo, F. Longhitano, D. Lopez-Coto, L. Maderer, J. Mańczak, K. Mannheim, A. Margiotta, A. Marinelli, C. Markou, L. Martin, J.A. Martínez-Mora, A. Martini, F. Marzaioli, S. Mastroianni, S. Mazzou, K.W. Melis, G. Miele, P. Migliozzi, E. Migneco, P. Mijakowski, L.S. Miranda, C.M. Mollo, M. Morganti, M. Moser, A. Moussa, R. Muller, M. Musumeci, L. Nauta, S. Navas, C.A. Nicolau, B. Ó Fearraigh, M. Organokov, A. Orlando, G. Papalashvili, R. Papaleo, C. Pastore, A. M. Păun, G.E. Păvălaş, C. Pellegrino, M. Perrin-Terrin, P. Piattelli, C. Pieterse, K. Pikounis, O. Pisanti, C. Poirè, V. Popa, M. Post, T. Pradier, G. Pühlhofer, S. Pulvirenti, O. Rabyang, F. Raffaelli, N. Randazzo, A. Rapicavoli, S. Razzaque, D. Real, S. Reck, G. Riccobene, M. Richer, S. Rivoire, A. Rovelli, F. Salesa Greus, D.F.E. Samtleben, A. Sánchez Losa, M. Sanguineti, A. Santangelo, D. Santonocito, P. Sapienza, J. Schnabel, J. Seneca, I. Sgura, R. Shanidze, A. Sharma, F. Simeone, A. Sinopoulou, B. Spisso, M. Spurio, D. Stavropoulos, J. Steijger, S.M. Stellacci, M. Taiuti, Y. Tayalati, E. Tenllado, T. Thakore, S. Tingay, E. Tzamariudaki, D. Tzanetatos, V. Van Elewyck, G. Vannoye, G. Vasileiadis, F. Versari, S. Viola, D. Vivolo, G. de Wasseige, J. Wilms, R. Wojaczyński, E. de Wolf, D. Zaborov, S. Zavatarelli, A. Zegarelli, D. Zito, J.D. Zornoza, J. Zúñiga, N. Zywucka

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 25%
Other 4 9%
Professor > Associate Professor 4 9%
Professor 3 7%
Student > Ph. D. Student 2 5%
Other 4 9%
Unknown 16 36%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 21 48%
Computer Science 2 5%
Engineering 2 5%
Philosophy 1 2%
Environmental Science 1 2%
Other 0 0%
Unknown 17 39%
Attention Score in Context

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 27 April 2020.
All research outputs
#15,160,034
of 23,316,003 outputs
Outputs from Journal of Instrumentation
#585
of 1,676 outputs
Outputs of similar age
#244,250
of 415,851 outputs
Outputs of similar age from Journal of Instrumentation
#19
of 37 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,676 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 61% 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 415,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.