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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exome-wide Rare Variant Analysis Identifies TUBA4A Mutations Associated with Familial ALS
|
|---|---|
| Published in |
Neuron, October 2014
|
| DOI | 10.1016/j.neuron.2014.09.027 |
| Pubmed ID | |
| Authors |
Bradley N. Smith, Nicola Ticozzi, Claudia Fallini, Athina Soragia Gkazi, Simon Topp, Kevin P. Kenna, Emma L. Scotter, Jason Kost, Pamela Keagle, Jack W. Miller, Daniela Calini, Caroline Vance, Eric W. Danielson, Claire Troakes, Cinzia Tiloca, Safa Al-Sarraj, Elizabeth A. Lewis, Andrew King, Claudia Colombrita, Viviana Pensato, Barbara Castellotti, Jacqueline de Belleroche, Frank Baas, Anneloor LMA ten Asbroek, Peter C. Sapp, Diane McKenna-Yasek, Russell L. McLaughlin, Meraida Polak, Seneshaw Asress, Jesús Esteban-Pérez, José Luis Muñoz-Blanco, Michael Simpson, SLAGEN Consortium, Sandra D’Alfonso, Letizia Mazzini, Giacomo P. Comi, Roberto Del Bo, Mauro Ceroni, Stella Gagliardi, Giorgia Querin, Cinzia Bertolin, Wouter van Rheenen, Frank P. Diekstra, Giuseppe Lauria, Stefano Duga, Stefania Corti, Cristina Cereda, Lucia Corrado, Gianni Sorarù, Karen E. Morrison, Kelly L. Williams, Garth A. Nicholson, Ian P. Blair, Patrick A. Dion, Claire S. Leblond, Guy A. Rouleau, Orla Hardiman, Jan H. Veldink, Leonard H. van den Berg, Ammar Al-Chalabi, Hardev Pall, Pamela J. Shaw, Martin R. Turner, Kevin Talbot, Franco Taroni, Alberto García-Redondo, Zheyang Wu, Jonathan D. Glass, Cinzia Gellera, Antonia Ratti, Robert H. Brown, Vincenzo Silani, Christopher E. Shaw, John E. Landers |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 29% |
| United Kingdom | 5 | 21% |
| Japan | 1 | 4% |
| Australia | 1 | 4% |
| Ireland | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 71% |
| Scientists | 6 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 446 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 439 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 105 | 24% |
| Researcher | 64 | 14% |
| Student > Master | 44 | 10% |
| Student > Bachelor | 38 | 9% |
| Student > Doctoral Student | 21 | 5% |
| Other | 64 | 14% |
| Unknown | 110 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 85 | 19% |
| Agricultural and Biological Sciences | 83 | 19% |
| Biochemistry, Genetics and Molecular Biology | 80 | 18% |
| Medicine and Dentistry | 46 | 10% |
| Computer Science | 4 | <1% |
| Other | 17 | 4% |
| Unknown | 131 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 12 November 2019.
All research outputs
#628,452
of 25,909,281 outputs
Outputs from Neuron
#1,119
of 9,618 outputs
Outputs of similar age
#6,505
of 274,516 outputs
Outputs of similar age from Neuron
#22
of 116 outputs
Altmetric has tracked 25,909,281 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.2. This one has done well, scoring higher than 88% 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 274,516 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 97% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.