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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natural compounds from botanical drugs targeting mTOR signaling pathway as promising therapeutics for atherosclerosis: A review
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2023
|
| DOI | 10.3389/fphar.2023.1083875 |
| Pubmed ID | |
| Authors |
Qian Wu, Qianyu Lv, Xiao’an Liu, Xuejiao Ye, Linlin Cao, Manshi Wang, Junjia Li, Yingtian Yang, Lanlan Li, Shihan Wang |
X Demographics
The data shown below were collected from the profiles of 15 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 States | 1 | 7% |
| Ukraine | 1 | 7% |
| Poland | 1 | 7% |
| India | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 10 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Other | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Computer Science | 1 | 14% |
| Chemistry | 1 | 14% |
| Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 February 2023.
All research outputs
#5,280,777
of 25,519,924 outputs
Outputs from Frontiers in Pharmacology
#2,514
of 19,886 outputs
Outputs of similar age
#108,540
of 473,862 outputs
Outputs of similar age from Frontiers in Pharmacology
#76
of 913 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,886 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 87% 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 473,862 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 913 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.