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X Demographics
Mendeley readers
Attention Score in Context
| Title |
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1
|
|---|---|
| Published in |
BMC Neuroscience, August 2017
|
| DOI | 10.1186/s12868-017-0370-3 |
| Authors |
Sue Denham, Panayiota Poirazi, Erik De Schutter, Karl Friston, Ho Ka Chan, Thomas Nowotny, Dongqi Han, Sungho Hong, Sophie Rosay, Tanja Wernle, Alessandro Treves, Sarah Goethals, Romain Brette, Tomas Van Pottelbergh, Rodolphe Sepulchre, Alex D. Bird, Hermann Cuntz, Pedro J. Gonçalves, Jan-Matthis Lueckmann, Giacomo Bassetto, Marcel Nonnenmacher, Jakob H. Macke, Audrey J. Sederberg, Jason N. MacLean, Stephanie E. Palmer, Ulisse Ferrari, Christophe Gardella, Olivier Marre, Thierry Mora, Emina Ibrahimovic, Martin Müller, Jean-Pascal Pfister, Tushar Chauhan, Timothée Masquelier, Alexandre Montlibert, Benoit R. Cottereau, Moritz Helias, Jannis Schuecker, David Dahmen, Sven Goedeke, Alexandre Hyafil, Ainhoa Hermoso-Mendizabal, Pavel E. Rueda-Orozco, Santiago Jaramillo, David Robbe, Jaime de la Rocha, Marie Rooy, Fani Koukouli, David DiGregorio, Uwe Maskos, Boris Gutkin, Andrey Yu Verisokin, Darya V. Verveyko, Dmitry E. Postnov, Willy Wong, Omid Talakoub, Robert Chen, Milos Popovic, Dmitriy Lisitsyn, Eric Drebitz, Iris Grothe, Sunita Mandon, Andreas Kreiter, Udo Ernst, Peter A. Robinson, Xuelong Zhao, Kevin M. Aquino, John D. Griffiths, Grishma Mehta-Pandejee, Natasha Gabay, James MacLaurin, Somwrita Sarkar, Tim Kunze, Jens Haueisen, Thomas R. Knösche, Subutai Ahmad, Yuwei Cui, Marcus Lewis, Jeff Hawkins, Simona Olmi, Spase Petkoski, Fabrice Bartolomei, Maxime Guye, Viktor Jirsa, Hazem Toutounji, Daniel Durstewitz, Matteo Cantarelli, Adrian Quintana, Boris Marin, Matt Earnshaw, Padraig Gleeson, Robert Court, Robert McDougal, R. Angus Silver, Salvador Dura-Bernal, Stephen Larson, William W. Lytton, Giovanni Idili, Lorenzo Posani, Simona Cocco, Karel Ježek, Rémi Monasson |
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 % |
|---|---|---|
| Italy | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 36% |
| Student > Ph. D. Student | 3 | 21% |
| Student > Doctoral Student | 2 | 14% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 14% |
| Nursing and Health Professions | 2 | 14% |
| Physics and Astronomy | 2 | 14% |
| Mathematics | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 4 | 29% |
| Unknown | 2 | 14% |
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 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from BMC Neuroscience
#1,060
of 1,250 outputs
Outputs of similar age
#278,298
of 318,830 outputs
Outputs of similar age from BMC Neuroscience
#16
of 18 outputs
Altmetric has tracked 22,999,744 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 1,250 research outputs from this source. They receive a mean Attention Score of 4.3. 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 318,830 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 18 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.