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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantification of total T-cell receptor diversity by flow cytometry and spectratyping
|
|---|---|
| Published in |
BMC Immunology, August 2013
|
| DOI | 10.1186/1471-2172-14-35 |
| Pubmed ID | |
| Authors |
Stanca M Ciupe, Blythe H Devlin, Mary Louise Markert, Thomas B Kepler |
| Abstract |
T-cell receptor diversity correlates with immune competency and is of particular interest in patients undergoing immune reconstitution. Spectratyping generates data about T-cell receptor CDR3 length distribution for each BV gene but is technically complex. Flow cytometry can also be used to generate data about T-cell receptor BV gene usage, but its utility has not been compared to or tested in combination with spectratyping. |
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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Colombia | 1 | 1% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Japan | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 63 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 27% |
| Researcher | 18 | 26% |
| Student > Master | 10 | 14% |
| Student > Postgraduate | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 31% |
| Medicine and Dentistry | 16 | 23% |
| Immunology and Microbiology | 13 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Mathematics | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 8 | 11% |
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 04 November 2016.
All research outputs
#13,387,301
of 22,715,151 outputs
Outputs from BMC Immunology
#233
of 588 outputs
Outputs of similar age
#103,771
of 197,230 outputs
Outputs of similar age from BMC Immunology
#5
of 7 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 588 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 58% 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 197,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.