| Title |
A Novel Risk-Scoring Model for Prediction of Premalignant and Malignant Lesions of Uterine Endometrium Among Symptomatic Premenopausal Women
|
|---|---|
| Published in |
International Journal of Women's Health, October 2020
|
| DOI | 10.2147/ijwh.s268169 |
| Pubmed ID | |
| Authors |
Sujatha Bagepalli Srinivas, Shruthi Sangamesh Kubakaddi, Samatha Polisetti, Shiny Amber, Shyamala Guruvare, Muralidhar Vaman Pai |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Student > Postgraduate | 2 | 20% |
| Student > Bachelor | 2 | 20% |
| Researcher | 2 | 20% |
| Unspecified | 1 | 10% |
| Other | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 40% |
| Unspecified | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 November 2020.
All research outputs
#20,662,373
of 23,257,423 outputs
Outputs from International Journal of Women's Health
#697
of 796 outputs
Outputs of similar age
#352,699
of 412,103 outputs
Outputs of similar age from International Journal of Women's Health
#10
of 13 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 796 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 1st percentile – i.e., 1% 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 412,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.