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Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

Overview of attention for article published in Cell, October 2018
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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)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
72 X users
patent
1 patent
facebook
3 Facebook pages
googleplus
2 Google+ users

Readers on

mendeley
304 Mendeley
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Article details
Title
Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk
Published in
Cell, October 2018
DOI 10.1016/j.cell.2018.09.049
Pubmed ID
Authors

International Multiple Sclerosis Genetics Consortium, Mitja Mitrovič, Nikolaos A. Patsopoulos, Ashley H. Beecham, Theresa Dankowski, An Goris, Bénédicte Dubois, Marie B. D’hooghe, Robin Lemmens, Philip Van Damme, Helle Bach Søndergaard, Finn Sellebjerg, Per Soelberg Sorensen, Henrik Ullum, Lise W. Thørner, Thomas Werge, Janna Saarela, Isabelle Cournu-Rebeix, Vincent Damotte, Bertrand Fontaine, Lena Guillot-Noel, Mark Lathrop, Sandra Vukusik, Pierre-Antoine Gourraud, Till F.M. Andlauer, Viola Pongratz, Dorothea Buck, Christiane Gasperi, Antonios Bayas, Christoph Heesen, Tania Kümpfel, Ralf Linker, Friedemann Paul, Martin Stangel, Björn Tackenberg, Florian Then Bergh, Clemens Warnke, Heinz Wiendl, Brigitte Wildemann, Uwe Zettl, Ulf Ziemann, Hayrettin Tumani, Ralf Gold, Verena Grummel, Bernhard Hemmer, Benjamin Knier, Christina M. Lill, Felix Luessi, Efthimios Dardiotis, Cristina Agliardi, Nadia Barizzone, Elisabetta Mascia, Luisa Bernardinelli, Giancarlo Comi, Daniele Cusi, Federica Esposito, Laura Ferrè, Cristoforo Comi, Daniela Galimberti, Maurizio A. Leone, Melissa Sorosina, Julia Mescheriakova, Rogier Hintzen, Cornelia van Duijn, Charlotte E. Theunissen, Steffan D. Bos, Kjell-Morten Myhr, Elisabeth G. Celius, Benedicte A. Lie, Anne Spurkland, Manuel Comabella, Xavier Montalban, Lars Alfredsson, Pernilla Stridh, Jan Hillert, Maja Jagodic, Fredrik Piehl, Ilijas Jelčić, Roland Martin, Mireia Sospedra, Maria Ban, Clive Hawkins, Pirro Hysi, Seema Kalra, Fredrik Karpe, Jyoti Khadake, Genevieve Lachance, Matthew Neville, Adam Santaniello, Stacy J. Caillier, Peter A. Calabresi, Bruce A.C. Cree, Anne Cross, Mary F. Davis, Jonathan L. Haines, Paul I.W. de Bakker, Silvia Delgado, Marieme Dembele, Keith Edwards, Kathryn C. Fitzgerald, Hakon Hakonarson, Ioanna Konidari, Ellen Lathi, Clara P. Manrique, Margaret A. Pericak-Vance, Laura Piccio, Cathy Schaefer, Cristin McCabe, Howard Weiner, Jacqueline Goldstein, Tomas Olsson, Georgios Hadjigeorgiou, Bruce Taylor, Lotti Tajouri, Jac Charlesworth, David R. Booth, Hanne F. Harbo, Adrian J. Ivinson, Stephen L. Hauser, Alastair Compston, Graeme Stewart, Frauke Zipp, Lisa F. Barcellos, Sergio E. Baranzini, Filippo Martinelli-Boneschi, Sandra D’Alfonso, Andreas Ziegler, Annette Oturai, Jacob L. McCauley, Stephen J. Sawcer, Jorge R. Oksenberg, Philip L. De Jager, Ingrid Kockum, David A. Hafler, Chris Cotsapas

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X Demographics

X Demographics

The data shown below were collected from the profiles of 72 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 304 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 47 15%
Researcher 40 13%
Student > Master 27 9%
Student > Bachelor 24 8%
Student > Doctoral Student 19 6%
Other 55 18%
Unknown 92 30%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 51 17%
Medicine and Dentistry 38 13%
Neuroscience 37 12%
Agricultural and Biological Sciences 29 10%
Immunology and Microbiology 12 4%
Other 23 8%
Unknown 114 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 17 December 2022.
All research outputs
#394,206
of 34,444,361 outputs
Outputs from Cell
#2,033
of 19,600 outputs
Outputs of similar age
#6,605
of 390,712 outputs
Outputs of similar age from Cell
#46
of 176 outputs
Altmetric has tracked 34,444,361 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 19,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.4. This one has done well, scoring higher than 89% 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 390,712 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 176 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.