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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differentiation of Pathogenic Th17 Cells Is Negatively Regulated by Let-7 MicroRNAs in a Mouse Model of Multiple Sclerosis
|
|---|---|
| Published in |
Frontiers in immunology, January 2020
|
| DOI | 10.3389/fimmu.2019.03125 |
| Pubmed ID | |
| Authors |
Constance C. Angelou, Alexandria C. Wells, Jyothi Vijayaraghavan, Carey E. Dougan, Rebecca Lawlor, Elizabeth Iverson, Vanja Lazarevic, Motoko Y. Kimura, Shelly R. Peyton, Lisa M. Minter, Barbara A. Osborne, Elena L. Pobezinskaya, Leonid A. Pobezinsky |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| Venezuela, Bolivarian Republic of | 1 | 25% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Other | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Immunology and Microbiology | 6 | 13% |
| Medicine and Dentistry | 4 | 8% |
| Neuroscience | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 20 | 42% |
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 21 February 2020.
All research outputs
#16,114,477
of 25,939,391 outputs
Outputs from Frontiers in immunology
#15,804
of 32,610 outputs
Outputs of similar age
#265,778
of 480,972 outputs
Outputs of similar age from Frontiers in immunology
#375
of 603 outputs
Altmetric has tracked 25,939,391 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 32,610 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 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 480,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 603 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.