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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hexamodal Imaging with Porphyrin‐Phospholipid‐Coated Upconversion Nanoparticles
|
|---|---|
| Published in |
Advanced Materials, January 2015
|
| DOI | 10.1002/adma.201404739 |
| Pubmed ID | |
| Authors |
James Rieffel, Feng Chen, Jeesu Kim, Guanying Chen, Wei Shao, Shuai Shao, Upendra Chitgupi, Reinier Hernandez, Stephen A. Graves, Robert J. Nickles, Paras N. Prasad, Chulhong Kim, Weibo Cai, Jonathan F. Lovell |
| Abstract |
Hexamodal imaging using simple nanoparticles is demonstrated. Porphyrin-phospholipids are used to coat upconversion nanoparticles in order to generate a new biocompatible material. The nanoparticles are characterized in vitro and in vivo for imaging via fluorescence, upconversion, positron emission tomography, computed tomography, Cerenkov luminescence, and photoacoustic tomography. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Unknown | 120 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 25% |
| Researcher | 17 | 14% |
| Student > Master | 16 | 13% |
| Student > Bachelor | 8 | 7% |
| Professor | 7 | 6% |
| Other | 22 | 18% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 33 | 27% |
| Materials Science | 11 | 9% |
| Physics and Astronomy | 11 | 9% |
| Engineering | 11 | 9% |
| Agricultural and Biological Sciences | 10 | 8% |
| Other | 21 | 17% |
| Unknown | 25 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 181. 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 01 March 2015.
All research outputs
#183,169
of 22,778,347 outputs
Outputs from Advanced Materials
#90
of 14,196 outputs
Outputs of similar age
#2,360
of 353,651 outputs
Outputs of similar age from Advanced Materials
#2
of 141 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 99% 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 353,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 141 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 98% of its contemporaries.