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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
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 |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 20% |
| Student > Ph. D. Student | 5 | 20% |
| Student > Master | 3 | 12% |
| Other | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 36% |
| Materials Science | 3 | 12% |
| Chemical Engineering | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Neuroscience | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 24% |
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
#16,721,208
of 25,373,627 outputs
Outputs from ChemNanoMat
#496
of 1,534 outputs
Outputs of similar age
#234,893
of 405,924 outputs
Outputs of similar age from ChemNanoMat
#12
of 32 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,534 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 62% 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 405,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 59% of its contemporaries.