↓ Skip to main content

High-Efficiency Transduction of Primary Human Hematopoietic Stem Cells and Erythroid Lineage-Restricted Expression by Optimized AAV6 Serotype Vectors In Vitro and in a Murine Xenograft Model In Vivo

Overview of attention for article published in PLOS ONE, March 2013
Altmetric Badge

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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
19 patents

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
101 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
High-Efficiency Transduction of Primary Human Hematopoietic Stem Cells and Erythroid Lineage-Restricted Expression by Optimized AAV6 Serotype Vectors In Vitro and in a Murine Xenograft Model In Vivo
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058757
Pubmed ID
Authors

Liujiang Song, Xiaomiao Li, Giridhara R. Jayandharan, Yuan Wang, George V. Aslanidi, Chen Ling, Li Zhong, Guangping Gao, Mervin C. Yoder, Changquan Ling, Mengqun Tan, Arun Srivastava

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Finland 1 <1%
Unknown 98 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 29%
Student > Ph. D. Student 15 15%
Student > Master 13 13%
Other 11 11%
Student > Bachelor 5 5%
Other 13 13%
Unknown 15 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 32%
Agricultural and Biological Sciences 27 27%
Medicine and Dentistry 9 9%
Engineering 5 5%
Unspecified 3 3%
Other 10 10%
Unknown 15 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 March 2023.
All research outputs
#4,904,224
of 23,567,572 outputs
Outputs from PLOS ONE
#70,713
of 202,026 outputs
Outputs of similar age
#40,832
of 197,561 outputs
Outputs of similar age from PLOS ONE
#1,335
of 5,412 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 64% 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 197,561 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 77% of its contemporaries.
We're also able to compare this research output to 5,412 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 74% of its contemporaries.