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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lactobacillus sakei suppresses collagen-induced arthritis and modulates the differentiation of T helper 17 cells and regulatory B cells
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2020
|
| DOI | 10.1186/s12967-020-02477-8 |
| Pubmed ID | |
| Authors |
Jooyeon Jhun, Hong Ki Min, Jaeyoon Ryu, Seon-Yeong Lee, Jun-Geol Ryu, Jeong Won Choi, Hyun Sik Na, Seung Yoon Lee, Yunju Jung, Sang-Jun Park, Myeong Soo Park, Bin Kwon, Geun Eog Ji, Mi-La Cho, Sung-Hwan Park |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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 > Bachelor | 4 | 16% |
| Student > Master | 3 | 12% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 12 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Unspecified | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 16 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 June 2023.
All research outputs
#6,767,913
of 24,129,125 outputs
Outputs from Journal of Translational Medicine
#1,057
of 4,291 outputs
Outputs of similar age
#140,686
of 400,102 outputs
Outputs of similar age from Journal of Translational Medicine
#34
of 96 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,291 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 74% 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 400,102 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 64% of its contemporaries.
We're also able to compare this research output to 96 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 65% of its contemporaries.