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Facile Synthesis of Large‐Pore Bicontinuous Cubic Mesoporous Silica Nanoparticles for Intracellular Gene Delivery

Overview of attention for article published in ChemNanoMat, February 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Facile Synthesis of Large‐Pore Bicontinuous Cubic Mesoporous Silica Nanoparticles for Intracellular Gene Delivery
Published in
ChemNanoMat, February 2016
DOI 10.1002/cnma.201600021
Authors

Meka, Anand Kumar, Niu, Yuting, Karmakar, Surajit, Hartono, Sandy Budi, Zhang, Jun, Lin, Chun Xiang Cynthia, Zhang, Hongwei, Whittaker, Andrew, Jack, Kevin, Yu, Meihua, Yu, Chengzhong, Anand Kumar Meka, Yuting Niu, Surajit Karmakar, Sandy Budi Hartono, Jun Zhang, Chun Xiang Cynthia Lin, Hongwei Zhang, Andrew Whittaker, Kevin Jack, Meihua Yu, Chengzhong Yu

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 24%
Student > Ph. D. Student 4 24%
Unspecified 2 12%
Student > Postgraduate 2 12%
Student > Master 1 6%
Other 4 24%
Readers by discipline Count As %
Chemistry 9 53%
Chemical Engineering 2 12%
Unspecified 2 12%
Neuroscience 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 February 2016.
All research outputs
#5,212,759
of 9,726,256 outputs
Outputs from ChemNanoMat
#163
of 423 outputs
Outputs of similar age
#168,127
of 342,869 outputs
Outputs of similar age from ChemNanoMat
#13
of 37 outputs
Altmetric has tracked 9,726,256 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 423 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 54% 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 342,869 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 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 62% of its contemporaries.