| Title |
Monitoring regulatory T cells in clinical samples: consensus on an essential marker set and gating strategy for regulatory T cell analysis by flow cytometry
|
|---|---|
| Published in |
Cancer Immunology, Immunotherapy, June 2015
|
| DOI | 10.1007/s00262-015-1729-x |
| Pubmed ID | |
| Authors |
Saskia J. A. M. Santegoets, Eveline M. Dijkgraaf, Alessandra Battaglia, Philipp Beckhove, Cedrik M. Britten, Awen Gallimore, Andrew Godkin, Cecile Gouttefangeas, Tanja D. de Gruijl, Hans J. P. M. Koenen, Alexander Scheffold, Ethan M. Shevach, Janet Staats, Kjetil Taskén, Theresa L. Whiteside, Judith R. Kroep, Marij J. P. Welters, Sjoerd H. van der Burg |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 323 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 20% |
| Student > Ph. D. Student | 59 | 18% |
| Student > Master | 41 | 13% |
| Student > Bachelor | 41 | 13% |
| Student > Doctoral Student | 18 | 6% |
| Other | 47 | 14% |
| Unknown | 55 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 76 | 23% |
| Medicine and Dentistry | 60 | 18% |
| Biochemistry, Genetics and Molecular Biology | 44 | 14% |
| Agricultural and Biological Sciences | 44 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 3% |
| Other | 25 | 8% |
| Unknown | 66 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 31 August 2022.
All research outputs
#2,797,701
of 26,017,215 outputs
Outputs from Cancer Immunology, Immunotherapy
#146
of 3,029 outputs
Outputs of similar age
#34,108
of 281,217 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#2
of 33 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,029 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% 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 281,217 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.