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Behçet’s disease and genetic interactions between HLA-B*51 and variants in genes of autoinflammatory syndromes

Overview of attention for article published in Scientific Reports, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Behçet’s disease and genetic interactions between HLA-B*51 and variants in genes of autoinflammatory syndromes
Published in
Scientific Reports, February 2019
DOI 10.1038/s41598-019-39113-5
Pubmed ID
Authors

Sergio Burillo-Sanz, Marco-Antonio Montes-Cano, José-Raúl García-Lozano, Israel Olivas-Martínez, Norberto Ortego-Centeno, Francisco-José García-Hernández, Gerard Espinosa, Genaro Graña-Gil, Juan Sánchez-Bursón, María Rosa Juliá, Roser Solans, Ricardo Blanco, Ana-Celia Barnosi-Marín, Ricardo Gómez de la Torre, Patricia Fanlo, Mónica Rodríguez-Carballeira, Luis Rodríguez-Rodríguez, Teresa Camps, Santos Castañeda, Juan-Jose Alegre-Sancho, Javier Martín, María Francisca González-Escribano

Twitter Demographics

The data shown below were collected from the profiles of 5 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Ph. D. Student 2 8%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Other 3 12%
Unknown 6 24%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Immunology and Microbiology 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 8%
Unknown 8 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 October 2020.
All research outputs
#2,674,557
of 19,148,527 outputs
Outputs from Scientific Reports
#22,936
of 102,922 outputs
Outputs of similar age
#60,663
of 280,353 outputs
Outputs of similar age from Scientific Reports
#1
of 5 outputs
Altmetric has tracked 19,148,527 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,922 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 77% 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 280,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them