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Genetic loci linked to Type 1 Diabetes and Multiple Sclerosis families in Sardinia

Overview of attention for article published in BMC Medical Genomics, January 2008
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1 research highlight platform

Citations

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Readers on

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32 Mendeley
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Title
Genetic loci linked to Type 1 Diabetes and Multiple Sclerosis families in Sardinia
Published in
BMC Medical Genomics, January 2008
DOI 10.1186/1471-2350-9-3
Pubmed ID
Authors

Maristella Pitzalis, Patrizia Zavattari, Raffaele Murru, Elisabetta Deidda, Magdalena Zoledziewska, Daniela Murru, Loredana Moi, Costantino Motzo, Valeria Orrù, Gianna Costa, Elisabetta Solla, Elisabetta Fadda, Lucia Schirru, Maria Cristina Melis, Marina Lai, Cristina Mancosu, Stefania Tranquilli, Stefania Cuccu, Marcella Rolesu, Maria Antonietta Secci, Daniela Corongiu, Daniela Contu, Rosanna Lampis, Annalisa Nucaro, Gavino Pala, Adolfo Pacifico, Mario Maioli, Paola Frongia, Margherita Chessa, Rossella Ricciardi, Stanislao Lostia, Anna Maria Marinaro, Anna Franca Milia, Novella Landis, Maria Antonietta Zedda, Michael B Whalen, Federico Santoni, Maria Giovanna Marrosu, Marcella Devoto, Francesco Cucca

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Italy 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Bachelor 6 19%
Student > Ph. D. Student 6 19%
Student > Master 3 9%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 11 34%
Biochemistry, Genetics and Molecular Biology 8 25%
Agricultural and Biological Sciences 4 13%
Environmental Science 1 3%
Psychology 1 3%
Other 3 9%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 July 2008.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#142,491
of 167,981 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 167,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.