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Relevance of next generation sequencing (NGS) data re-analysis in the diagnosis of monogenic diseases leading to organ failure

Overview of attention for article published in BMC Medical Genomics, November 2023
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1 X user

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3 Mendeley
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Title
Relevance of next generation sequencing (NGS) data re-analysis in the diagnosis of monogenic diseases leading to organ failure
Published in
BMC Medical Genomics, November 2023
DOI 10.1186/s12920-023-01747-w
Pubmed ID
Authors

Claudia Saglia, Valeria Bracciamà, Luca Trotta, Fiorenza Mioli, Angelo Corso Faini, Giulia Margherita Brach Del Prever, Silvia Kalantari, Maria Luca, Carmelo Maria Romeo, Caterina Scolari, Licia Peruzzi, Pier Luigi Calvo, Alessandro Mussa, Roberta Fenoglio, Dario Roccatello, Claudio Alberti, Diana Carli, Antonio Amoroso, Silvia Deaglio, Tiziana Vaisitti

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 30 November 2023.
All research outputs
#16,923,090
of 24,885,505 outputs
Outputs from BMC Medical Genomics
#742
of 1,359 outputs
Outputs of similar age
#83,878
of 164,245 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 23 outputs
Altmetric has tracked 24,885,505 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 1,359 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 34th percentile – i.e., 34% 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 164,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.