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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study
|
|---|---|
| Published in |
Journal of Hematology & Oncology, November 2022
|
| DOI | 10.1186/s13045-022-01378-1 |
| Pubmed ID | |
| Authors |
Shengbing Zhao, Shuling Wang, Peng Pan, Tian Xia, Rundong Wang, Quancai Cai, Xin Chang, Fan Yang, Lun Gu, Zixuan He, Jiayi Wu, Qianqian Meng, Tongchang Wang, Qiwen Fang, Xiaomei Mou, Honggang Yu, Jinghua Zheng, Cheng Bai, Yingbin Zou, Dongfeng Chen, Xiaoping Zou, Xu Ren, Leiming Xu, Ping Yao, Guangsu Xiong, Xu Shu, Tong Dang, Li Zhang, Wen Wang, Shengchao Kang, Hongfei Cao, Aixia Gong, Jun Li, Heng Zhang, Yiqi Du, Zhaoshen Li, Yu Bai |
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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 17% |
| Professor > Associate Professor | 1 | 17% |
| Unknown | 4 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 4 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 November 2022.
All research outputs
#3,283,696
of 23,090,520 outputs
Outputs from Journal of Hematology & Oncology
#249
of 1,200 outputs
Outputs of similar age
#66,348
of 441,589 outputs
Outputs of similar age from Journal of Hematology & Oncology
#7
of 33 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 78% 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 441,589 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 84% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.