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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate Machine Learning Model to Diagnose Chronic Autoimmune Diseases Utilizing Information From B Cells and Monocytes
|
|---|---|
| Published in |
Frontiers in immunology, April 2022
|
| DOI | 10.3389/fimmu.2022.870531 |
| Pubmed ID | |
| Authors |
Yuanchen Ma, Jieying Chen, Tao Wang, Liting Zhang, Xinhao Xu, Yuxuan Qiu, Andy Peng Xiang, Weijun Huang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 12 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 21% |
| Agricultural and Biological Sciences | 3 | 10% |
| Engineering | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 12 | 41% |
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 06 May 2022.
All research outputs
#16,524,211
of 26,166,431 outputs
Outputs from Frontiers in immunology
#17,022
of 33,003 outputs
Outputs of similar age
#234,548
of 451,130 outputs
Outputs of similar age from Frontiers in immunology
#899
of 1,694 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,003 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 47th percentile – i.e., 47% 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 451,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,694 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.