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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning and bioinformatics analysis revealed classification and potential treatment strategy in stage 3–4 NSCLC patients
|
|---|---|
| Published in |
BMC Medical Genomics, February 2022
|
| DOI | 10.1186/s12920-022-01184-1 |
| Pubmed ID | |
| Authors |
Chang Li, Chen Tian, Yulan Zeng, Jinyan Liang, Qifan Yang, Feifei Gu, Yue Hu, Li Liu |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Unspecified | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 12% |
| Unspecified | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 6 | 18% |
| Unknown | 16 | 48% |
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 25 March 2022.
All research outputs
#14,197,328
of 23,885,338 outputs
Outputs from BMC Medical Genomics
#523
of 1,283 outputs
Outputs of similar age
#196,961
of 430,661 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 39 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,283 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 56% 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 430,661 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 52% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.