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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-cell multimodal analysis identifies common regulatory programs in synovial fibroblasts of rheumatoid arthritis patients and modeled TNF-driven arthritis
|
|---|---|
| Published in |
Genome Medicine, July 2022
|
| DOI | 10.1186/s13073-022-01081-3 |
| Pubmed ID | |
| Authors |
Marietta Armaka, Dimitris Konstantopoulos, Christos Tzaferis, Matthieu D. Lavigne, Maria Sakkou, Anastasios Liakos, Petros P. Sfikakis, Meletios A. Dimopoulos, Maria Fousteri, George Kollias |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 3 | 23% |
| United Kingdom | 2 | 15% |
| Spain | 1 | 8% |
| Finland | 1 | 8% |
| Italy | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 13% |
| Researcher | 5 | 11% |
| Unspecified | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 21 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Unspecified | 4 | 9% |
| Immunology and Microbiology | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 23 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 August 2022.
All research outputs
#4,212,785
of 25,795,662 outputs
Outputs from Genome Medicine
#835
of 1,616 outputs
Outputs of similar age
#81,528
of 435,008 outputs
Outputs of similar age from Genome Medicine
#32
of 43 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,616 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one is in the 48th percentile – i.e., 48% 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 435,008 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 81% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.