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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Refining electronic medical records representation in manifold subspace
|
|---|---|
| Published in |
BMC Bioinformatics, April 2022
|
| DOI | 10.1186/s12859-022-04653-7 |
| Pubmed ID | |
| Authors |
Bolin Wang, Yuanyuan Sun, Yonghe Chu, Di Zhao, Zhihao Yang, Jian 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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 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 % |
|---|---|---|
| Researcher | 4 | 36% |
| Other | 1 | 9% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Computer Science | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Chemistry | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 April 2022.
All research outputs
#18,936,243
of 23,466,057 outputs
Outputs from BMC Bioinformatics
#6,434
of 7,393 outputs
Outputs of similar age
#318,089
of 443,494 outputs
Outputs of similar age from BMC Bioinformatics
#115
of 116 outputs
Altmetric has tracked 23,466,057 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,393 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 443,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.