| Title |
European Myeloma Network recommendations on tools for the diagnosis and monitoring of multiple myeloma: what to use and when
|
|---|---|
| Published in |
Hematology Journal, August 2018
|
| DOI | 10.3324/haematol.2018.189159 |
| Pubmed ID | |
| Authors |
Jo Caers, Laurent Garderet, K. Martin Kortüm, Michael E. O’Dwyer, Niels W.C.J. van de Donk, Mascha Binder, Sandra Maria Dold, Francesca Gay, Jill Corre, Yves Beguin, Heinz Ludwig, Alessandra Larocca, Christoph Driessen, Meletios A. Dimopoulos, Mario Boccadoro, Martin Gramatzki, Sonja Zweegman, Hermann Einsele, Michele Cavo, Hartmut Goldschmidt, Pieter Sonneveld, Michel Delforge, Holger W. Auner, Evangelos Terpos, Monika Engelhardt |
X Demographics
The data shown below were collected from the profiles of 29 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 | 4 | 14% |
| Spain | 3 | 10% |
| Netherlands | 2 | 7% |
| Canada | 2 | 7% |
| Mexico | 2 | 7% |
| Italy | 1 | 3% |
| Brazil | 1 | 3% |
| United Kingdom | 1 | 3% |
| Belgium | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 9 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 72% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Scientists | 3 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 272 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 13% |
| Other | 34 | 13% |
| Student > Ph. D. Student | 26 | 10% |
| Student > Bachelor | 23 | 8% |
| Student > Postgraduate | 20 | 7% |
| Other | 51 | 19% |
| Unknown | 82 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 124 | 46% |
| Biochemistry, Genetics and Molecular Biology | 26 | 10% |
| Nursing and Health Professions | 6 | 2% |
| Agricultural and Biological Sciences | 6 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 1% |
| Other | 20 | 7% |
| Unknown | 86 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 17 February 2022.
All research outputs
#1,451,080
of 26,017,215 outputs
Outputs from Hematology Journal
#166
of 4,185 outputs
Outputs of similar age
#29,833
of 349,004 outputs
Outputs of similar age from Hematology Journal
#6
of 92 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 95% 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 349,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.