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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)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
37 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Bachelor 5 14%
Student > Ph. D. Student 3 8%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Other 5 14%
Unknown 9 24%
Readers by discipline Count As %
Medicine and Dentistry 11 30%
Immunology and Microbiology 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 1 3%
Other 3 8%
Unknown 11 30%
Attention Score in Context

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
#3,317,445
of 23,130,383 outputs
Outputs from Scientific Reports
#28,650
of 125,056 outputs
Outputs of similar age
#76,193
of 353,190 outputs
Outputs of similar age from Scientific Reports
#1,206
of 4,435 outputs
Altmetric has tracked 23,130,383 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 125,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. 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 353,190 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 4,435 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 72% of its contemporaries.