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MRI predicts intracranial hemorrhage in patients who receive long-term oral anticoagulation.

Overview of attention for article published in Neurology, April 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
twitter
95 X users
facebook
2 Facebook pages

Citations

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45 Dimensions

Readers on

mendeley
86 Mendeley
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Title
MRI predicts intracranial hemorrhage in patients who receive long-term oral anticoagulation.
Published in
Neurology, April 2019
DOI 10.1212/wnl.0000000000007532
Pubmed ID
Authors

Joan Martí-Fàbregas, Santiago Medrano-Martorell, Elisa Merino, Luis Prats-Sánchez, Rebeca Marín, Raquel Delgado-Mederos, Alejandro Martínez-Domeño, Pol Camps-Renom, Elena Jiménez-Xarrié, Mariluisa Zedde, Manuel Gómez-Choco, Lidia Lara, Amèlia Boix, Ana Calleja, Ana María De Arce-Borda, Yolanda Bravo, Blanca Fuentes, María Hernández-Pérez, David Cánovas, Laura Llull, Beatriz Zandio, Marimar Freijo, Ignacio Casado-Naranjo, Jordi Sanahuja, Dolores Cocho, Jerzy Krupinski, Ana Rodríguez-Campello, Ernest Palomeras, Alicia De Felipe, Marta Serrano, Elena Zapata-Arriaza, Josep Zaragoza-Brunet, Inmaculada Díaz-Maroto, Jessica Fernández-Domínguez, Aida Lago, José Maestre, Manuel Rodríguez-Yáñez, Ignasi Gich

X Demographics

X Demographics

The data shown below were collected from the profiles of 95 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 16%
Other 8 9%
Student > Ph. D. Student 6 7%
Professor > Associate Professor 6 7%
Student > Master 6 7%
Other 20 23%
Unknown 26 30%
Readers by discipline Count As %
Medicine and Dentistry 30 35%
Neuroscience 13 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Nursing and Health Professions 2 2%
Computer Science 2 2%
Other 4 5%
Unknown 32 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 75. 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 26 July 2019.
All research outputs
#540,956
of 24,618,500 outputs
Outputs from Neurology
#1,035
of 20,736 outputs
Outputs of similar age
#12,296
of 356,199 outputs
Outputs of similar age from Neurology
#20
of 378 outputs
Altmetric has tracked 24,618,500 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 20,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has done particularly well, scoring higher than 95% 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 356,199 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 96% of its contemporaries.
We're also able to compare this research output to 378 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 94% of its contemporaries.