| Title |
Identification of Potential Prognostic Long Non-Coding RNA Biomarkers for Predicting Recurrence in Patients with Cervical Cancer
|
|---|---|
| Published in |
Cancer Management and Research, January 2020
|
| DOI | 10.2147/cmar.s231796 |
| Pubmed ID | |
| Authors |
Yan Zhang, Xing Zhang, Haixia Zhu, Yang Liu, Jian Cao, Dake Li, Bo Ding, Wenjing Yan, Hua Jin, Shizhi Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 31% |
| Student > Ph. D. Student | 5 | 31% |
| Student > Master | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 38% |
| Biochemistry, Genetics and Molecular Biology | 5 | 31% |
| Immunology and Microbiology | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 3 | 19% |
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 05 September 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from Cancer Management and Research
#352
of 2,022 outputs
Outputs of similar age
#164,790
of 458,123 outputs
Outputs of similar age from Cancer Management and Research
#17
of 97 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 79% 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 458,123 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 56% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.