| Title |
Clinical impact of the CONUT score in patients with multiple myeloma
|
|---|---|
| Published in |
Annals of Hematology, November 2019
|
| DOI | 10.1007/s00277-019-03844-2 |
| Pubmed ID | |
| Authors |
Sho Okamoto, Hiroshi Ureshino, Keisuke Kidoguchi, Kana Kusaba, Haruna Kizuka-Sano, Haruhiko Sano, Atsujiro Nishioka, Kyosuke Yamaguchi, Kazuharu Kamachi, Hidekazu Itamura, Mariko Yoshimura, Masako Yokoo, Takero Shindo, Yasushi Kubota, Toshihiko Ando, Kensuke Kojima, Atsushi Kawaguchi, Eisaburo Sueoka, Shinya Kimura |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 20% |
| Student > Doctoral Student | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Postgraduate | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 4 | 13% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 43% |
| Nursing and Health Professions | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 6 | 20% |
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 02 December 2019.
All research outputs
#18,701,252
of 23,177,498 outputs
Outputs from Annals of Hematology
#1,496
of 2,212 outputs
Outputs of similar age
#336,545
of 458,620 outputs
Outputs of similar age from Annals of Hematology
#34
of 67 outputs
Altmetric has tracked 23,177,498 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 2,212 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 20th percentile – i.e., 20% 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 458,620 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.