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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Incorporating knowledge of disease-defining hub genes and regulatory network into a machine learning-based model for predicting treatment response in lupus nephritis after the first renal flare
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2023
|
| DOI | 10.1186/s12967-023-03931-z |
| Pubmed ID | |
| Authors |
Ding-Jie Lee, Ping-Huang Tsai, Chien-Chou Chen, Yang-Hong Dai |
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 % |
|---|---|---|
| Taiwan | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Student > Postgraduate | 1 | 9% |
| Researcher | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 8 | 73% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 February 2023.
All research outputs
#6,586,887
of 23,715,461 outputs
Outputs from Journal of Translational Medicine
#1,014
of 4,202 outputs
Outputs of similar age
#115,604
of 435,937 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 147 outputs
Altmetric has tracked 23,715,461 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,202 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 done well, scoring higher than 75% 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 435,937 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 73% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.