| Title |
Artificial Intelligence Based on Blood Biomarkers Including CTCs Predicts Outcomes in Epithelial Ovarian Cancer: A Prospective Study
|
|---|---|
| Published in |
OncoTargets and therapy, May 2021
|
| DOI | 10.2147/ott.s307546 |
| Pubmed ID | |
| Authors |
Jun Ma, Jiani Yang, Yue Jin, Shanshan Cheng, Shan Huang, Nan Zhang, Yu Wang |
X Demographics
The data shown below were collected from the profiles of 37 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 Kingdom | 5 | 14% |
| United States | 4 | 11% |
| India | 3 | 8% |
| Puerto Rico | 1 | 3% |
| Australia | 1 | 3% |
| Austria | 1 | 3% |
| Germany | 1 | 3% |
| South Africa | 1 | 3% |
| Brazil | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 19 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 97% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 22 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Unspecified | 2 | 5% |
| Computer Science | 2 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 24 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 02 June 2021.
All research outputs
#2,483,130
of 25,387,668 outputs
Outputs from OncoTargets and therapy
#64
of 3,016 outputs
Outputs of similar age
#63,384
of 453,943 outputs
Outputs of similar age from OncoTargets and therapy
#1
of 101 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. 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 453,943 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 86% of its contemporaries.
We're also able to compare this research output to 101 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 99% of its contemporaries.