The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IL-10 Deficiency Accelerates Type 1 Diabetes Development via Modulation of Innate and Adaptive Immune Cells and Gut Microbiota in BDC2.5 NOD Mice
|
|---|---|
| Published in |
Frontiers in immunology, July 2021
|
| DOI | 10.3389/fimmu.2021.702955 |
| Pubmed ID | |
| Authors |
Juan Huang, Qiyuan Tan, Ningwen Tai, James Alexander Pearson, Yangyang Li, Chen Chao, Lucy Zhang, Jian Peng, Yanpeng Xing, Luyao Zhang, Youjia Hu, Zhiguang Zhou, F. Susan Wong, Li Wen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 13% |
| Student > Master | 2 | 8% |
| Lecturer | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Immunology and Microbiology | 4 | 17% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 28 May 2022.
All research outputs
#3,388,018
of 26,178,577 outputs
Outputs from Frontiers in immunology
#3,690
of 32,859 outputs
Outputs of similar age
#75,088
of 445,583 outputs
Outputs of similar age from Frontiers in immunology
#173
of 1,387 outputs
Altmetric has tracked 26,178,577 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,859 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 88% 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 445,583 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 83% of its contemporaries.
We're also able to compare this research output to 1,387 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.