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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal cancer
|
|---|---|
| Published in |
Frontiers in Public Health, December 2022
|
| DOI | 10.3389/fpubh.2022.1008137 |
| Pubmed ID | |
| Authors |
Yalong Zhang, Zunni Zhang, Liuxiang Wei, Shujing Wei |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| United Kingdom | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 11% |
| Other | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Student > Master | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 12 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Computer Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 12 | 67% |
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 06 January 2023.
All research outputs
#15,067,253
of 24,702,628 outputs
Outputs from Frontiers in Public Health
#4,170
of 12,976 outputs
Outputs of similar age
#205,426
of 465,492 outputs
Outputs of similar age from Frontiers in Public Health
#295
of 1,334 outputs
Altmetric has tracked 24,702,628 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 67% 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 465,492 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 54% of its contemporaries.
We're also able to compare this research output to 1,334 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.