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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Foxp3 Instability Helps tTregs Distinguish Self and Non-self
|
|---|---|
| Published in |
Frontiers in immunology, September 2019
|
| DOI | 10.3389/fimmu.2019.02226 |
| Pubmed ID | |
| Authors |
Zhongmei Zhang, Xuyu Zhou |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 2 | 17% |
| Kenya | 1 | 8% |
| Netherlands | 1 | 8% |
| Brazil | 1 | 8% |
| United States | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 25% |
| Researcher | 10 | 18% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 17 | 31% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Medicine and Dentistry | 8 | 15% |
| Agricultural and Biological Sciences | 5 | 9% |
| Nursing and Health Professions | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 October 2020.
All research outputs
#5,337,658
of 25,774,185 outputs
Outputs from Frontiers in immunology
#5,868
of 32,357 outputs
Outputs of similar age
#97,638
of 358,016 outputs
Outputs of similar age from Frontiers in immunology
#188
of 669 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,357 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 81% 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 358,016 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 72% of its contemporaries.
We're also able to compare this research output to 669 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 71% of its contemporaries.