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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Assessment of Anti-Tumor Cytotoxic Activity of Naturally Occurring Antibodies in Human Serum or Plasma
|
|---|---|
| Chapter number | 8 |
| Book title |
Natural Antibodies
|
| Published in |
Methods in molecular biology, July 2017
|
| DOI | 10.1007/978-1-4939-7180-0_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7179-4, 978-1-4939-7180-0
|
| Authors |
Reinhard Schwartz-Albiez, Othmar Dill, Schwartz-Albiez, Reinhard, Dill, Othmar |
| Editors |
Srinivas V. Kaveri, Jagadeesh Bayry |
| Abstract |
A small percentage of the Western population carries antibodies in the peripheral blood, which are able to kill human tumors such as neuroblastoma or melanoma. Several observations indicate that these antibodies, preferentially of IgM isotype, belong to the class of naturally occurring antibodies. Here, we describe two screening methods for the detection and quantification of such antibodies in human blood samples: a cellular ELISA technique and a flow cytometric assay, based on intercalation of fluorescent propidium iodide into the DNA of dying or dead 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Professor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Librarian | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 3 | 50% |
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 04 July 2017.
All research outputs
#21,293,845
of 23,923,788 outputs
Outputs from Methods in molecular biology
#10,292
of 13,508 outputs
Outputs of similar age
#277,243
of 316,595 outputs
Outputs of similar age from Methods in molecular biology
#205
of 265 outputs
Altmetric has tracked 23,923,788 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 13,508 research outputs from this source. They receive a mean Attention Score of 3.5. 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 316,595 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 265 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.