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X Demographics
Mendeley readers
Attention Score in Context
Title |
Artificial Intelligence in Pharmaceutical Sciences
|
---|---|
Published in |
Engineering, August 2023
|
DOI | 10.1016/j.eng.2023.01.014 |
Authors |
Mingkun Lu, Jiayi Yin, Qi Zhu, Gaole Lin, Minjie Mou, Fuyao Liu, Ziqi Pan, Nanxin You, Xichen Lian, Fengcheng Li, Hongning Zhang, Lingyan Zheng, Wei Zhang, Hanyu Zhang, Zihao Shen, Zhen Gu, Honglin Li, Feng Zhu |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Pakistan | 1 | 10% |
United Kingdom | 1 | 10% |
Mexico | 1 | 10% |
United States | 1 | 10% |
Germany | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 107 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 9% |
Student > Ph. D. Student | 8 | 7% |
Student > Master | 7 | 7% |
Professor > Associate Professor | 6 | 6% |
Student > Bachelor | 5 | 5% |
Other | 10 | 9% |
Unknown | 61 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 16 | 15% |
Computer Science | 5 | 5% |
Chemistry | 4 | 4% |
Agricultural and Biological Sciences | 4 | 4% |
Engineering | 3 | 3% |
Other | 9 | 8% |
Unknown | 66 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 30 October 2023.
All research outputs
#657,643
of 25,866,425 outputs
Outputs from Engineering
#1
of 1 outputs
Outputs of similar age
#12,370
of 363,390 outputs
Outputs of similar age from Engineering
#1
of 1 outputs
Altmetric has tracked 25,866,425 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.2. This one scored the same or higher as 0 of them.
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 363,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 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