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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach
|
|---|---|
| Published in |
BMC Pulmonary Medicine, February 2020
|
| DOI | 10.1186/s12890-020-1062-9 |
| Pubmed ID | |
| Authors |
Kazushi Matsumura, Shigeaki Ito |
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 % |
|---|---|---|
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Master | 6 | 16% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 5 | 13% |
| Professor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Immunology and Microbiology | 3 | 8% |
| Computer Science | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 12 October 2022.
All research outputs
#4,628,402
of 23,507,888 outputs
Outputs from BMC Pulmonary Medicine
#346
of 1,991 outputs
Outputs of similar age
#106,864
of 452,257 outputs
Outputs of similar age from BMC Pulmonary Medicine
#9
of 64 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,991 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 82% 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 452,257 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.