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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single Cell Transcriptome and Surface Epitope Analysis of Ankylosing Spondylitis Facilitates Disease Classification by Machine Learning
|
|---|---|
| Published in |
Frontiers in immunology, May 2022
|
| DOI | 10.3389/fimmu.2022.838636 |
| Pubmed ID | |
| Authors |
Samuel Alber, Sugandh Kumar, Jared Liu, Zhi-Ming Huang, Diana Paez, Julie Hong, Hsin-Wen Chang, Tina Bhutani, Lianne S. Gensler, Wilson Liao |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 17% |
| Italy | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Computer Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 June 2022.
All research outputs
#14,606,449
of 25,711,518 outputs
Outputs from Frontiers in immunology
#11,902
of 32,218 outputs
Outputs of similar age
#183,426
of 446,867 outputs
Outputs of similar age from Frontiers in immunology
#618
of 1,699 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,218 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 61% 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 446,867 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 58% of its contemporaries.
We're also able to compare this research output to 1,699 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 62% of its contemporaries.