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Mendeley readers
Attention Score in Context
| Title |
Natural Anti-Inflammatory Compounds as Drug Candidates for Inflammatory Bowel Disease
|
|---|---|
| Published in |
Frontiers in Pharmacology, July 2021
|
| DOI | 10.3389/fphar.2021.684486 |
| Pubmed ID | |
| Authors |
Linshan Duan, Shuyu Cheng, Long Li, Yanling Liu, Dan Wang, Guoyan Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 36 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 10% |
| Medicine and Dentistry | 4 | 6% |
| Immunology and Microbiology | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 36 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 May 2022.
All research outputs
#4,221,765
of 23,310,485 outputs
Outputs from Frontiers in Pharmacology
#1,868
of 16,763 outputs
Outputs of similar age
#96,359
of 436,424 outputs
Outputs of similar age from Frontiers in Pharmacology
#76
of 908 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 436,424 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 77% of its contemporaries.
We're also able to compare this research output to 908 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.