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Lentiviral Vectors and Protocols for Creation of Stable hESC Lines for Fluorescent Tracking and Drug Resistance Selection of Cardiomyocytes

Overview of attention for article published in PLOS ONE, April 2009
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
5 patents

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
291 Mendeley
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Title
Lentiviral Vectors and Protocols for Creation of Stable hESC Lines for Fluorescent Tracking and Drug Resistance Selection of Cardiomyocytes
Published in
PLOS ONE, April 2009
DOI 10.1371/journal.pone.0005046
Pubmed ID
Authors

Hiroko Kita-Matsuo, Maria Barcova, Natalie Prigozhina, Nathan Salomonis, Karen Wei, Jeffrey G. Jacot, Brandon Nelson, Sean Spiering, René Haverslag, Changsung Kim, Maria Talantova, Ruchi Bajpai, Diego Calzolari, Alexey Terskikh, Andrew D. McCulloch, Jeffrey H. Price, Bruce R. Conklin, H. S. Vincent Chen, Mark Mercola

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Netherlands 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Portugal 1 <1%
Iran, Islamic Republic of 1 <1%
Germany 1 <1%
Romania 1 <1%
Belgium 1 <1%
Other 2 <1%
Unknown 272 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 80 27%
Student > Ph. D. Student 79 27%
Professor > Associate Professor 24 8%
Student > Doctoral Student 17 6%
Other 17 6%
Other 48 16%
Unknown 26 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 136 47%
Biochemistry, Genetics and Molecular Biology 48 16%
Medicine and Dentistry 39 13%
Engineering 19 7%
Neuroscience 5 2%
Other 13 4%
Unknown 31 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 January 2023.
All research outputs
#3,414,823
of 23,549,388 outputs
Outputs from PLOS ONE
#44,922
of 201,830 outputs
Outputs of similar age
#11,627
of 94,952 outputs
Outputs of similar age from PLOS ONE
#131
of 525 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,830 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 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 94,952 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 84% of its contemporaries.
We're also able to compare this research output to 525 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 71% of its contemporaries.