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Combinatorial nanococktails via self-assembling lipid prodrugs for synergistically overcoming drug resistance and effective cancer therapy

Overview of attention for article published in Biomaterials Research, January 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 198)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Combinatorial nanococktails via self-assembling lipid prodrugs for synergistically overcoming drug resistance and effective cancer therapy
Published in
Biomaterials Research, January 2022
DOI 10.1186/s40824-022-00249-7
Pubmed ID
Authors

Tongyu Li, Weiwei Shi, Jie Yao, Jingyun Hu, Qiong Sun, Jing Meng, Jian Wan, Haihan Song, Hangxiang Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 15%
Student > Doctoral Student 1 8%
Professor 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 1 8%
Unknown 6 46%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Pharmacology, Toxicology and Pharmaceutical Science 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 6 46%
Attention Score in Context

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 01 February 2022.
All research outputs
#5,344,550
of 25,392,582 outputs
Outputs from Biomaterials Research
#38
of 198 outputs
Outputs of similar age
#127,328
of 517,894 outputs
Outputs of similar age from Biomaterials Research
#1
of 6 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 80% 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 517,894 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 75% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them