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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel tumor mutational burden estimation model as a predictive and prognostic biomarker in NSCLC patients
|
|---|---|
| Published in |
BMC Medicine, August 2020
|
| DOI | 10.1186/s12916-020-01694-8 |
| Pubmed ID | |
| Authors |
Yanhua Tian, Jiachen Xu, Qian Chu, Jianchun Duan, Jianjun Zhang, Hua Bai, Zhenlin Yang, Wenfeng Fang, Liangliang Cai, Rui Wan, Kailun Fei, Jie He, Shugeng Gao, Li Zhang, Zhijie Wang, Jie Wang |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Argentina | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Bachelor | 5 | 14% |
| Student > Master | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 17 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 32% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Chemistry | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Unknown | 18 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 August 2020.
All research outputs
#14,495,922
of 23,232,430 outputs
Outputs from BMC Medicine
#2,988
of 3,500 outputs
Outputs of similar age
#221,559
of 399,261 outputs
Outputs of similar age from BMC Medicine
#89
of 99 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 13th percentile – i.e., 13% 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 399,261 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.