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Mendeley readers
Attention Score in Context
Chapter title |
Bispecific Antibody Armed T Cells to Target Cancer Cells
|
---|---|
Chapter number | 8 |
Book title |
The Surfaceome
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7553-2_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7551-8, 978-1-4939-7553-2
|
Authors |
Archana Thakur, Lawrence G. Lum, Sandeep Mittal, Thakur, Archana, Lum, Lawrence G., Mittal, Sandeep |
Abstract |
The common strategy for making bispecific antibodies (BsAbs) involves combining the variable domains of the desired monoclonal antibodies (mAbs) into a single bispecific structure. Bispecific immunotherapeutics has generated many different formats of BsAbs including chemical heteroconjugation of two complete molecules or fragments of monoclonal antibodies, quadroma, F(ab)2, diabodies, tandem diabodies, and single-chain antibodies (scFv). This chapter describes the process of generating activated T cells and arming T cells with heteroconjugated BsAbs to target cancer cells. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 30% |
Researcher | 2 | 20% |
Student > Ph. D. Student | 2 | 20% |
Student > Bachelor | 1 | 10% |
Professor | 1 | 10% |
Other | 0 | 0% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 30% |
Agricultural and Biological Sciences | 3 | 30% |
Chemical Engineering | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 August 2018.
All research outputs
#20,456,235
of 23,012,811 outputs
Outputs from Methods in molecular biology
#9,940
of 13,156 outputs
Outputs of similar age
#378,178
of 442,345 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 442,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.