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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An approach for diagnosing plasma cell myeloma by three-color flow cytometry based on kappa/lambda ratios of CD38-gated CD138+ cells
|
|---|---|
| Published in |
Diagnostic Pathology, September 2012
|
| DOI | 10.1186/1746-1596-7-131 |
| Pubmed ID | |
| Authors |
Shoko Nakayama, Taiji Yokote, Yuji Hirata, Kazuki Iwaki, Toshikazu Akioka, Takuji Miyoshi, Ayami Takayama, Uta Nishiwaki, Yuki Masuda, Toshiyuki Ikemoto, Hidema Tanaka, Yasuichiro Nishimura, Motomu Tsuji, Toshiaki Hanafusa |
| Abstract |
World Health Organization (WHO) criteria are commonly used to diagnose plasma cell myeloma (PCM); however, these criteria are complex and require several laboratory parameters. For differentiating reactive plasmacytosis from clonal plasma cell (PC) neoplasms such as PCM, it is important to accurately determine the expression of cytoplasmic immunoglobulin light chains. |
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 % |
|---|---|---|
| Brazil | 1 | 33% |
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| Denmark | 1 | 4% |
| Unknown | 23 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 6 | 24% |
| Student > Ph. D. Student | 4 | 16% |
| Other | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 36% |
| Agricultural and Biological Sciences | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Computer Science | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 28% |
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 29 September 2012.
All research outputs
#14,151,903
of 22,679,690 outputs
Outputs from Diagnostic Pathology
#416
of 1,118 outputs
Outputs of similar age
#99,169
of 172,156 outputs
Outputs of similar age from Diagnostic Pathology
#5
of 23 outputs
Altmetric has tracked 22,679,690 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 1,118 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 57% 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 172,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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 65% of its contemporaries.