The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence assists precision medicine in cancer treatment
|
|---|---|
| Published in |
Frontiers in oncology, January 2023
|
| DOI | 10.3389/fonc.2022.998222 |
| Pubmed ID | |
| Authors |
Jinzhuang Liao, Xiaoying Li, Yu Gan, Shuangze Han, Pengfei Rong, Wei Wang, Wei Li, Li Zhou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 8 | 10% |
| Researcher | 7 | 8% |
| Other | 6 | 7% |
| Student > Ph. D. Student | 5 | 6% |
| Student > Master | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 40 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 12% |
| Unspecified | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Computer Science | 7 | 8% |
| Engineering | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 39 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 26 August 2024.
All research outputs
#2,265,103
of 26,528,445 outputs
Outputs from Frontiers in oncology
#517
of 23,236 outputs
Outputs of similar age
#47,563
of 493,881 outputs
Outputs of similar age from Frontiers in oncology
#20
of 1,459 outputs
Altmetric has tracked 26,528,445 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,236 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 97% 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 493,881 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 90% of its contemporaries.
We're also able to compare this research output to 1,459 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 98% of its contemporaries.