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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
|
|---|---|
| Chapter number | 4 |
| Book title |
Multiple Myeloma
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7865-6_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7864-9, 978-1-4939-7865-6
|
| Authors |
Tina Smets, Frederik Stevenaert, Homer Adams, Greet Vanhoof, Smets, Tina, Stevenaert, Frederik, Adams, HC, Vanhoof, Greet |
| Abstract |
Mass cytometry has emerged as a new state-of-the-art technology that enables in-depth characterization of cellular populations and functions at a single cell resolution. We describe the application of this technology to deeply phenotype the blood and bone marrow components of multiple myeloma patients in a clinical setting. This technology allows for simultaneous quantification of more than 40 markers, overcoming the challenges of traditional fluorescence-based flow cytometry. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Other | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 32% |
| Medicine and Dentistry | 5 | 23% |
| Agricultural and Biological Sciences | 2 | 9% |
| Chemistry | 2 | 9% |
| Immunology and Microbiology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 23% |
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 27 June 2018.
All research outputs
#14,409,968
of 23,081,466 outputs
Outputs from Methods in molecular biology
#4,238
of 13,201 outputs
Outputs of similar age
#240,774
of 442,597 outputs
Outputs of similar age from Methods in molecular biology
#432
of 1,499 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,201 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 442,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 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 66% of its contemporaries.