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Shared polygenic risk and causal inferences in amyotrophic lateral sclerosis

Overview of attention for article published in Annals of Neurology, March 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
16 news outlets
blogs
4 blogs
twitter
9 X users
facebook
3 Facebook pages

Readers on

mendeley
191 Mendeley
citeulike
2 CiteULike
Title
Shared polygenic risk and causal inferences in amyotrophic lateral sclerosis
Published in
Annals of Neurology, March 2019
DOI 10.1002/ana.25431
Pubmed ID
Authors

Sara Bandres‐Ciga, Alastair J. Noyce, Gibran Hemani, Aude Nicolas, Andrea Calvo, Gabriele Mora, Alessandro Arosio, Marco Barberis, Ilaria Bartolomei, Stefania Battistini, Michele Benigni, Giuseppe Borghero, Maura Brunetti, Andrea Calvo, Stefania Cammarosano, Antonino Cannas, Antonio Canosa, Margherita Capasso, Claudia Caponnetto, Carla Caredda, Paola Carrera, Federico Casale, Sebastiano Cavallaro, Adriano Chiò, Tiziana Colletti, Francesca L. Conforti, Amelia Conte, Lucia Corrado, Emanuela Costantino, Sandra D'Alfonso, Antonio Fasano, Cinzia Femiano, Carlo Ferrarese, Nicola Fini, Gianluca Floris, Giuseppe Fuda, Fabio Giannini, Maurizio Grassano, Antonio Ilardi, Vincenzo La Bella, Serena Lattante, Giancarlo Logroscino, Francesco O. Logullo, Daniela Loi, Christian Lunetta, Gianluigi Mancardi, Paola Mandich, Jessica Mandrioli, Umberto Manera, Giuseppe Marangi, Kalliopi Marinou, Giuseppe Marrali, Maria Giovanna Marrosu, Letizia Mazzini, Maurizio Melis, Sonia Messina, Cristina Moglia, Maria Rosaria Monsurro, Gabriele Mora, Lorena Mosca, Patrizia Occhineri, Paola Origone, Carla Pani, Silvana Penco, Antonio Petrucci, Giovanni Piccirillo, Angelo Pirisi, Fabrizio Pisano, Maura Pugliatti, Gabriella Restagno, Claudia Ricci, Maria Rita Murru, Nilo Riva, Mario Sabatelli, Fabrizio Salvi, Marialuisa Santarelli, Riccardo Sideri, Isabella Simone, Rossella Spataro, Raffaella Tanel, Gioacchino Tedeschi, Stefania Tranquilli, Lucio Tremolizzo, Francesca Trojsi, Paolo Volanti, Marcella Zollino, Yevgeniya Abramzon, Sampath Arepalli, Robert H. Baloh, Robert Bowser, Christopher B. Brady, Alexis Brice, James Broach, Roy H. Campbell, William Camu, Ruth Chia, Adriano Chiò, John Cooper‐Knock, Daniele Cusi, Jinhui Ding, Carsten Drepper, Vivian E. Drory, Travis L. Dunckley, John D. Eicher, Faraz Faghri, Eva Feldman, Mary Kay Floeter, Pietro Fratta, Joshua T. Geiger, Glenn Gerhard, J. Raphael Gibbs, Summer B. Gibson, Jonathan D. Glass, John Hardy, Matthew B. Harms, Terry D. Heiman‐Patterson, Dena G. Hernandez, Lilja Jansson, Freya Kamel, Janine Kirby, Neil W. Kowall, Hannu Laaksovirta, Francesco Landi, Isabelle Le Ber, Serge Lumbroso, Daniel J.L. MacGowan, Nicholas J. Maragakis, Kevin Mouzat, Natalie A. Murphy, Liisa Myllykangas, Mike A. Nalls, Aude Nicolas, Richard W. Orrell, Lyle W. Ostrow, Roger Pamphlett, Stuart Pickering‐Brown, Erik Pioro, Hannah A. Pliner, Stefan M. Pulst, John M. Ravits, Alan E. Renton, Alberto Rivera, Wim Robbrecht, Ekaterina Rogaeva, Sara Rollinson, Jeffrey D. Rothstein, Erika Salvi, Sonja W. Scholz, Michael Sendtner, Pamela J. Shaw, Katie C. Sidle, Zachary Simmons, Andrew B. Singleton, David C. Stone, Raimo Sulkava, Pentti J. Tienari, Bryan J. Traynor, John Q. Trojanowski, Juan C. Troncoso, Philip Van Damme, Vivianna M. Van Deerlin, Ludo Van Den Bosch, Lorne Zinman, Pentti J. Tienari, David J. Stone, Mike A. Nalls, Andrew B. Singleton, Adriano Chiò, Bryan J. Traynor

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 191 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 16%
Student > Ph. D. Student 20 10%
Student > Bachelor 16 8%
Other 13 7%
Student > Master 13 7%
Other 36 19%
Unknown 63 33%
Readers by discipline Count As %
Neuroscience 30 16%
Medicine and Dentistry 26 14%
Biochemistry, Genetics and Molecular Biology 22 12%
Agricultural and Biological Sciences 9 5%
Nursing and Health Professions 6 3%
Other 20 10%
Unknown 78 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 145. 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 30 January 2024.
All research outputs
#290,115
of 26,017,215 outputs
Outputs from Annals of Neurology
#80
of 5,755 outputs
Outputs of similar age
#6,354
of 368,862 outputs
Outputs of similar age from Annals of Neurology
#1
of 62 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,755 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 98% 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 368,862 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 98% of its contemporaries.
We're also able to compare this research output to 62 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 98% of its contemporaries.