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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immunotherapy Bridge 2016 and Melanoma Bridge 2016: meeting abstracts
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2017
|
| DOI | 10.1186/s12967-016-1095-2 |
| Authors |
Vera Hirsh, Sandro Pignata, Melissa Bersanelli, Letizia Gnetti, Cinzia Azzoni, Lorena Bottarelli, Donatello Gasparro, Francesco Leonardi, Enrico Maria Silini, Sebastiano Buti, Erik Wennerberg, Aranzazu Mediero, Bruce Cronstein, Silvia Formenti, Sandra Demaria, Claire Vanpouille-Box, Karsten Pilones, Nils Rudqvist, Julie Diamond, Silvia Formenti, Sandra Demaria, Zachary S. Morris, Emily I. Guy, David M. Francis, Monica M. Gressett, Eric A. Armstrong, Shyhmin Huang, Stephen D. Gilles, Alan J. Korman, Jacquelyn A. Hank, Anna Hoefges, Alexander L. Rakhmilevich, Paul M. Harari, Paul M. Sondel, Yared Hailemichael, Willem W. Overwijk, Per thor Straten, Alessandro Lugli, Heather Dawson, Annika Blank, Inti Zlobec, Luigi Fattore, Susan Costantini, Mario Acunzo, Giulia Romano, Giovanni Nigita, Alessandro Laganà, Debora Malpicci, Ciro Francesco Ruggiero, Maria Elena Pisanu, Alessia Noto, Claudia De Vitis, Carlo Maria Croce, Paolo Antonio Ascierto, Rita Mancini, Gennaro Ciliberto, Michael Postow, Jason Luke, David Stroncek, Luciano Castiello, Wenjing Chen, Ping Jin, Jiaqiang Ren, Marianna Sabatino, Soldano Ferrone, Connie PM Duong, Marie Vetizou, Laurence Zitvogel, Maria Elena Pisanu, Alessia Noto, Luigi Fattore, Debora Malpicci, Gennaro Ciliberto, Rita Mancini, Marcella Occelli, Carolina Cauchi, Grazia Sciancalepore, Cristiana Lo Nigro, Michela Rovera, Chiara Varamo, Daniela Vivenza, Zelda Seia, Stefania Palazzini, Fabiana Errico, Davide Basso, Laura Quaranta, Giuseppe Forte, Fulvio Lavagna, Silvia Violante, Paolo Bosio, Laura Lattanzio, Marco Carlo Merlano, Duane Moogk, Shi Zhong, Zhiya Yu, Ivan Liadi, William Rittase, Victoria Fang, Janna Dougherty, Arianne Perez-Garcia, Iman Osman, Cheng Zhu, Navin Varadarajan, Nicholas P. Restifo, Alan Frey, Michelle Krogsgaard, Timea Balatoni, Anita Moho, Timea Sebestyén, Anita Varga, Judit Oláh, Zsuzsanna Lengyel, Gabriella Emri, Gabriella Liszkay, Andrea Ladányi, Beatrice Polini, Stefano Fogli, Sara Carpi, Barbara Pardini, Alessio Naccarati, Nevio Dubbini, Maria Cristina Breschi, Antonella Romanini, Paola Nieri, Francesca Morgese, Davide Soldato, Silvia Pagliaretta, Riccardo Giampieri, Donatella Brancorsini, Silvia Rinaldi, Mariangela Torniai, Anna Campanati, Giulia Ganzetti, Annamaria Offidani, Alfredo Giacchetti, Giuseppe Ricotti, Agnese Savini, Azzurra Onofri, Francesca Bianchi, Rossana Berardi, Giovanna Galdo, Gianfranco Orlandino, Salvatore Serio, Domenico Massariello, Tommaso Fabrizio, Valentina Montagnani, Matteo Benelli, Alessandro Apollo, Chiara Pescucci, Danilo Licastro, Carmelo Urso, Gianni Gerlini, Lorenzo Borgognoni, Lucio Luzzatto, Barbara Stecca, Elisabetta Gambale, Camilla Tinari, Alberto Quinzii, Alessio Cortellini, Consiglia Carella, Michele De Tursi, Adele Emanuela De Francesco, Mariarosanna De Fina, Maria Cristina Zito, Maria Dezia Bisceglia, Stefania Esposito, Giuseppina Fersini, Silvana Morello, Claudia Sorrentino, Aldo Pinto, Antonella Di Sarno, Antonella Bianco, Carmine D’Aniello, Francesca Andreozzi, Lucia Festina, Vito Vanella, Paolo Antonio Ascierto, Vincenzo Montesarchio, Beatrix Kotlan, Maria Godeny, Farkas Emil, Laszlo Toth, Szabolcs Horvath, Klara Eles, Timea Balatoni, Akos Savolt, Andras Szollar, Miklós Kasler, Gabriella Liszkay, Daniel Yiu, Fabio Grizzi, Federica Patrinicola, Maurizio Chiriva-Internati, Stefania Motta, Marcello Monti, Lavinia Benini, Stefano Ugel, Sara Cingarlini, Alessandra Fiore, Elisabetta Grego, Giampaolo Tortora, Vincenzo Bronte, Luca Tondulli, Gianluca Di Monta, Corrado Caracò, Ugo Marone, Lucia Festino, Paolo Antonio Ascierto, Nicola Mozzillo |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 27% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 20% |
| Medicine and Dentistry | 3 | 20% |
| Computer Science | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 January 2017.
All research outputs
#20,390,619
of 22,940,083 outputs
Outputs from Journal of Translational Medicine
#3,324
of 4,010 outputs
Outputs of similar age
#354,505
of 418,819 outputs
Outputs of similar age from Journal of Translational Medicine
#61
of 65 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 418,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.