| Title |
Effect of general symptom level, specific adverse events, treatment patterns, and patient characteristics on health-related quality of life in patients with multiple myeloma: results of a European, multicenter cohort study
|
|---|---|
| Published in |
Supportive Care in Cancer, October 2013
|
| DOI | 10.1007/s00520-013-1991-4 |
| Pubmed ID | |
| Authors |
Karin Jordan, Irina Proskorovsky, Philip Lewis, Jack Ishak, Krista Payne, Noreen Lordan, Charalampia Kyriakou, Cathy D. Williams, Sarah Peters, Faith E. Davies |
| Abstract |
Novel multiple myeloma (MM) therapies have increased patient longevity but are often associated with notable symptom burden. This study quantified the effect of general symptom level, specific symptoms, and treatment-related adverse events (AEs) on MM patients' health-related quality of life (HRQoL). |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 134 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 16% |
| Other | 16 | 12% |
| Student > Ph. D. Student | 15 | 11% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 11 | 8% |
| Other | 13 | 10% |
| Unknown | 44 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 29% |
| Nursing and Health Professions | 12 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 20 | 15% |
| Unknown | 46 | 34% |
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 14 September 2020.
All research outputs
#4,459,082
of 22,725,280 outputs
Outputs from Supportive Care in Cancer
#1,061
of 4,550 outputs
Outputs of similar age
#41,937
of 211,058 outputs
Outputs of similar age from Supportive Care in Cancer
#9
of 58 outputs
Altmetric has tracked 22,725,280 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 4,550 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 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 211,058 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 80% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.