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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Profiling Differential Effects of 5 Selective Serotonin Reuptake Inhibitors on TLRs-Dependent and -Independent IL-6 Production in Immune Cells Identifies Fluoxetine as Preferred Anti-Inflammatory Drug Candidate
|
|---|---|
| Published in |
Frontiers in Pharmacology, June 2022
|
| DOI | 10.3389/fphar.2022.874375 |
| Pubmed ID | |
| Authors |
Yohei Takenaka, Ryu Tanaka, Kazuki Kitabatake, Kouji Kuramochi, Shin Aoki, Mitsutoshi Tsukimoto |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 29% |
| Student > Ph. D. Student | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Doctoral Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 29% |
| Medicine and Dentistry | 2 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Unspecified | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
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 06 November 2023.
All research outputs
#14,519,788
of 24,761,242 outputs
Outputs from Frontiers in Pharmacology
#4,475
of 18,811 outputs
Outputs of similar age
#184,901
of 433,490 outputs
Outputs of similar age from Frontiers in Pharmacology
#196
of 1,178 outputs
Altmetric has tracked 24,761,242 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18,811 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 75% 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 433,490 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 56% of its contemporaries.
We're also able to compare this research output to 1,178 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.