| Title |
Blood eosinophil count as a prognostic biomarker in COPD
|
|---|---|
| Published in |
International Journal of Chronic Obstructive Pulmonary Disease, October 2018
|
| DOI | 10.2147/copd.s179734 |
| Pubmed ID | |
| Authors |
Yeon-Mok Oh, Keu Sung Lee, Yoonki Hong, Sung Chul Hwang, Jae Yeol Kim, Deog Keom Kim, Kwang Ha Yoo, Ji-Hyun Lee, Tae-Hyung Kim, Seong Yong Lim, Chin Kook Rhee, Hyoung Kyu Yoon, Sang Yeub Lee, Yong Bum Park, Jin Hee Jung, Woo Jin Kim, Sang-Do Lee, Joo Hun Park |
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% |
| Researcher | 7 | 12% |
| Other | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 33% |
| Nursing and Health Professions | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 26 | 45% |
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 07 November 2018.
All research outputs
#4,838,109
of 25,385,509 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#562
of 2,578 outputs
Outputs of similar age
#89,705
of 354,551 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#19
of 85 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. 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 354,551 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 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.