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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unlocking the potential of mesoporous silica nanoparticles in breast cancer treatment
|
|---|---|
| Published in |
Journal of Nanoparticle Research, August 2023
|
| DOI | 10.1007/s11051-023-05813-3 |
| Authors |
Riya Thapa, Haider Ali, Obaid Afzal, Asif Ahmad Bhat, Waleed Hassan Almalki, Sami I. Alzarea, Imran Kazmi, Abdulmalik Saleh Alfawaz Altamimi, Neha Jain, Manisha Pandey, Neeraj Kumar Fuloria, Mahendran Sekar, Dhanalekshmi Unnikrishnan Meenakshi, Vikash Jakhmola, Sachin Kumar Singh, Kamal Dua, Gaurav Gupta |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 20% |
| Unspecified | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Student > Master | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 15% |
| Unspecified | 2 | 10% |
| Chemical Engineering | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 45% |
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 07 November 2023.
All research outputs
#13,901,660
of 24,764,450 outputs
Outputs from Journal of Nanoparticle Research
#668
of 967 outputs
Outputs of similar age
#124,950
of 339,556 outputs
Outputs of similar age from Journal of Nanoparticle Research
#1
of 6 outputs
Altmetric has tracked 24,764,450 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 339,556 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 62% 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