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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strategies for improving the reporting of human immunophenotypes by flow cytometry
|
|---|---|
| Published in |
Journal for Immunotherapy of Cancer, June 2014
|
| DOI | 10.1186/2051-1426-2-18 |
| Pubmed ID | |
| Authors |
Michael P Gustafson, Yi Lin, Mabel Ryder, Allan B Dietz |
| Abstract |
Flow cytometry is the gold standard for phenotyping and quantifying immune cells. New technologies have greatly increased our capacity to measure both routine and complex immunophenotypes. The reporting of immunophenotype data is not consistent in human studies yet it is quite critical for understanding disease specific changes, responses to immunotherapies, and normal immune homeostasis. Here we examine the barriers that hinder cross comparisons of flow cytometry data collected from human studies and clinical trials. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Spain | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 46 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 35% |
| Other | 6 | 12% |
| Student > Master | 6 | 12% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 12 | 24% |
| Medicine and Dentistry | 7 | 14% |
| Agricultural and Biological Sciences | 7 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 January 2016.
All research outputs
#7,849,147
of 25,374,647 outputs
Outputs from Journal for Immunotherapy of Cancer
#1,875
of 3,421 outputs
Outputs of similar age
#71,561
of 242,961 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#7
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 44th percentile – i.e., 44% 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 242,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.