You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of postoperative complications of pediatric cataract patients using data mining
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2019
|
| DOI | 10.1186/s12967-018-1758-2 |
| Pubmed ID | |
| Authors |
Kai Zhang, Xiyang Liu, Jiewei Jiang, Wangting Li, Shuai Wang, Lin Liu, Xiaojing Zhou, Liming Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 6 | 10% |
| Lecturer | 5 | 9% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 24% |
| Medicine and Dentistry | 7 | 12% |
| Engineering | 5 | 9% |
| Psychology | 2 | 3% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 26 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 February 2022.
All research outputs
#7,460,696
of 23,452,723 outputs
Outputs from Journal of Translational Medicine
#1,208
of 4,158 outputs
Outputs of similar age
#152,870
of 440,270 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 98 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,158 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 69% 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 440,270 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 64% of its contemporaries.
We're also able to compare this research output to 98 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.