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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Nanoparticle-GFP âChemical Noseâ Sensor for Cancer Cell Identification
|
---|---|
Chapter number | 1 |
Book title |
Cellular and Subcellular Nanotechnology
|
Published in |
Methods in molecular biology, January 2013
|
DOI | 10.1007/978-1-62703-336-7_1 |
Pubmed ID | |
Book ISBNs |
978-1-62703-335-0, 978-1-62703-336-7
|
Authors |
Daniel F. Moyano, Vincent M. Rotello, Moyano, Daniel F., Rotello, Vincent M. |
Abstract |
Nanoparticle-based sensor arrays have been used to distinguish a wide range of bio-related molecules through pattern recognition. This "chemical nose" approach uses nanoparticles as receptors to selectively identify the analytes, while a transducer reports the binding through a readable signal (fluorescence). Here we describe a procedure that uses functionalized gold nanoparticles as receptors and green fluorescent protein (GFP) as the transducer to identify and differentiate cell state (normal, cancerous, and metastatic), an important tool in early diagnosis and treatment of tumors. |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 8% |
Netherlands | 1 | 8% |
Unknown | 10 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Student > Bachelor | 2 | 17% |
Other | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 2 | 17% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 4 | 33% |
Agricultural and Biological Sciences | 2 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Nursing and Health Professions | 1 | 8% |
Energy | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
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 03 April 2013.
All research outputs
#14,748,737
of 22,703,044 outputs
Outputs from Methods in molecular biology
#4,655
of 13,076 outputs
Outputs of similar age
#175,268
of 280,707 outputs
Outputs of similar age from Methods in molecular biology
#166
of 340 outputs
Altmetric has tracked 22,703,044 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 13,076 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% 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 280,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.