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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Immune-Related Long Non-Coding RNA Signature to Predict the Prognosis of Ewing’s Sarcoma Based on a Machine Learning Iterative Lasso Regression
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, May 2021
|
| DOI | 10.3389/fcell.2021.651593 |
| Pubmed ID | |
| Authors |
En-hui Ren, Ya-jun Deng, Wen-hua Yuan, Guang-zhi Zhang, Zuo-long Wu, Chun-ying Li, Qi-qi Xie |
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 % |
|---|---|---|
| Switzerland | 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 15% |
| Researcher | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 9 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Materials Science | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 9 | 69% |
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 16 June 2021.
All research outputs
#13,226,909
of 23,308,124 outputs
Outputs from Frontiers in Cell and Developmental Biology
#2,149
of 9,293 outputs
Outputs of similar age
#189,040
of 448,536 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#194
of 931 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,293 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 448,536 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 931 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.