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Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis

Overview of attention for article published in Neuron, March 2022
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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 (93rd percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
187 tweeters

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
166 Mendeley
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Title
Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis
Published in
Neuron, March 2022
DOI 10.1016/j.neuron.2021.12.019
Pubmed ID
Authors

Sai Zhang, Johnathan Cooper-Knock, Annika K. Weimer, Minyi Shi, Tobias Moll, Jack N.G. Marshall, Calum Harvey, Helia Ghahremani Nezhad, John Franklin, Cleide dos Santos Souza, Ke Ning, Cheng Wang, Jingjing Li, Allison A. Dilliott, Sali Farhan, Eran Elhaik, Iris Pasniceanu, Matthew R. Livesey, Chen Eitan, Eran Hornstein, Kevin P. Kenna, Jan H. Veldink, Laura Ferraiuolo, Pamela J. Shaw, Michael P. Snyder, Ian Blair, Naomi R. Wray, Matthew Kiernan, Miguel Mitne Neto, Adriano Chio, Ruben Cauchi, Wim Robberecht, Philip van Damme, Philippe Corcia, Philippe Couratier, Orla Hardiman, Russell McLaughin, Marc Gotkine, Vivian Drory, Nicola Ticozzi, Vincenzo Silani, Jan H. Veldink, Leonard H. van den Berg, Mamede de Carvalho, Jesus S. Mora Pardina, Monica Povedano, Peter Andersen, Markus Weber, Nazli A. Başak, Ammar Al-Chalabi, Chris Shaw, Pamela J. Shaw, Karen E. Morrison, John E. Landers, Jonathan D. Glass

Twitter Demographics

The data shown below were collected from the profiles of 187 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 20%
Student > Ph. D. Student 23 14%
Student > Master 15 9%
Other 13 8%
Unspecified 9 5%
Other 26 16%
Unknown 47 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 22%
Neuroscience 21 13%
Agricultural and Biological Sciences 12 7%
Medicine and Dentistry 12 7%
Unspecified 11 7%
Other 20 12%
Unknown 54 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 201. 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 01 June 2023.
All research outputs
#177,037
of 23,956,119 outputs
Outputs from Neuron
#227
of 9,305 outputs
Outputs of similar age
#5,771
of 445,510 outputs
Outputs of similar age from Neuron
#7
of 94 outputs
Altmetric has tracked 23,956,119 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.8. This one has done particularly well, scoring higher than 97% 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 445,510 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 94 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 93% of its contemporaries.