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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinformatics and System Biology Approach to Identify the Influences of COVID-19 on Rheumatoid Arthritis
|
|---|---|
| Published in |
Frontiers in immunology, April 2022
|
| DOI | 10.3389/fimmu.2022.860676 |
| Pubmed ID | |
| Authors |
Huan Hu, Nana Tang, Facai Zhang, Li Li, Long Li |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
| Netherlands | 1 | 20% |
| India | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Researcher | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Unspecified | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Computer Science | 2 | 8% |
| Environmental Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 11 | 44% |
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 28 April 2022.
All research outputs
#15,182,877
of 25,394,764 outputs
Outputs from Frontiers in immunology
#14,218
of 31,554 outputs
Outputs of similar age
#207,773
of 447,684 outputs
Outputs of similar age from Frontiers in immunology
#693
of 1,656 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 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 52% 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 447,684 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 51% of its contemporaries.
We're also able to compare this research output to 1,656 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 54% of its contemporaries.