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Lentiviral vectors for the treatment of primary immunodeficiencies

Overview of attention for article published in Journal of Inherited Metabolic Disease, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 policy source
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6 X users
patent
7 patents

Citations

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17 Dimensions

Readers on

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63 Mendeley
Title
Lentiviral vectors for the treatment of primary immunodeficiencies
Published in
Journal of Inherited Metabolic Disease, March 2014
DOI 10.1007/s10545-014-9690-y
Pubmed ID
Authors

Giada Farinelli, Valentina Capo, Samantha Scaramuzza, Alessandro Aiuti

Abstract

In the last years important progress has been made in the treatment of several primary immunodeficiency disorders (PIDs) with gene therapy. Hematopoietic stem cell (HSC) gene therapy indeed represents a valid alternative to conventional transplantation when a compatible donor is not available and recent success confirmed the great potential of this approach. First clinical trials performed with gamma retroviral vectors were promising and guaranteed clinical benefits to the patients. On the other hand, the outcome of severe adverse events as the development of hematological abnormalities highlighted the necessity to develop a safer platform to deliver the therapeutic gene. Self-inactivating (SIN) lentiviral vectors (LVVs) were studied to overcome this hurdle through their preferable integration pattern into the host genome. In this review, we describe the recent advancements achieved both in vitro and at preclinical level with LVVs for the treatment of Wiskott-Aldrich syndrome (WAS), chronic granulomatous disease (CGD), ADA deficiency (ADA-SCID), Artemis deficiency, RAG1/2 deficiency, X-linked severe combined immunodeficiency (γchain deficiency, SCIDX1), X-linked lymphoproliferative disease (XLP) and immune dysregulation, polyendocrinopathy, enteropathy, X-linked (IPEX) syndrome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Master 8 13%
Student > Bachelor 8 13%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 4 6%
Other 11 17%
Unknown 11 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 27%
Agricultural and Biological Sciences 12 19%
Medicine and Dentistry 9 14%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 8 13%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 February 2024.
All research outputs
#2,880,170
of 24,878,531 outputs
Outputs from Journal of Inherited Metabolic Disease
#117
of 1,970 outputs
Outputs of similar age
#27,821
of 226,907 outputs
Outputs of similar age from Journal of Inherited Metabolic Disease
#1
of 18 outputs
Altmetric has tracked 24,878,531 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,970 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 226,907 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 87% of its contemporaries.
We're also able to compare this research output to 18 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 99% of its contemporaries.