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Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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Attention Score in Context
| Title |
Addition of isatuximab to lenalidomide, bortezomib, and dexamethasone as induction therapy for newly diagnosed, transplantation-eligible patients with multiple myeloma (GMMG-HD7): part 1 of an open-label, multicentre, randomised, active-controlled, phase 3 trial
|
|---|---|
| Published in |
The Lancet Haematology, November 2022
|
| DOI | 10.1016/s2352-3026(22)00263-0 |
| Pubmed ID | |
| Authors |
Hartmut Goldschmidt, Elias K, Uta Bertsch, Roland Fenk, Eva Nievergall, Diana Tichy, Britta Besemer, Jan Dürig, Roland Schroers, Ivana von Metzler, Mathias Hänel, Christoph Mann, Anne M Asemissen, Bernhard Heilmeier, Niels Weinhold, Stefanie Huhn, Katharina Kriegsmann, Steffen P Luntz, Tobias A W Holderried, Karolin Trautmann-Grill, Deniz Gezer, Maika Klaiber-Hakimi, Martin Müller, Cyrus Khandanpour, Wolfgang Knauf, Christof Scheid, Markus Munder, Thomas Geer, Hendrik Riesenberg, Jörg Thomalla, Martin Hoffmann, Marc S Raab, Hans J Salwender, Katja C Weisel, German-Speaking Myeloma Multicenter Group HD7 investigators, Anne M Asemissen, Joachim Behringer, Helga Bernhard, Christiane Bernhardt, Uta Bertsch, Britta Besemer, Igor W Blau, Claus Bolling, Daniel Debatin, Gerrit Dingeldein, Jan Dürig, Roland Fenk, Barbara Ferstl, Claudia Fest, Stefan Fronhoffs, Stephan Fuhrmann, Tobias Gaska, Thomas Geer, Deniz Gezer, Hartmut Goldschmidt, Martin Görner, Ullrich Graeven, Jochen Grassinger, Mathias Hänel, Bernhard Heilmeier, Michael Heinsch, Gerhard Held, Martin Hoffmann, Tobias A W Holderried, Olaf Hopfer, Stefanie Huhn, Peter Immenschuh, Dominic Kaddu-Mulindwa, Cyrus Khandanpour, Maika Klaiber-Hakimi, Martine Klausmann, Stefan Klein, Wolfgang Knauf, Yon-Dschun Ko, Georg Köchling, Michael Koenigsmann, Philippe Kostrewa, Doris Maria Kraemer, Stephan Kremers, Katharina Kriegsmann, Martin Kropff, Paul La Rosée, Steffen P Luntz, Rolf Mahlberg, Elias K, Christoph Mann, Uwe Martens, Ivana von Metzler, Martin Müller, Markus Munder, Michael Neise, Eva Nievergall, Holger Nückel, Wolfram Pönisch, Maria Procaccianti, Marc S Raab, Mohammed R Rafiyan, Peter Reimer, Armin Riecke, Hendrik Riesenberg, Mathias Rummel, Volker Runde, Hans J Salwender, Markus Schaich, Christoph Scheid, Martin Schmidt-Hieber, Stefan Schmitt, Daniel Schöndube, Roland Schroers, Andreas Schwarzer, Peter Staib, Heike Steiniger, Dirk Sturmberg, Jörg Thomalla, Diana Tichy, Hans-Joachim Tischler, Karolin Trautmann-Grill, Arne Trummer, Barbara Tschechne, Walter Verbeek, Niels Weinhold, Katja C Weisel, Bettina Whitlock, Maike de Wit, Matthias Zaiß, Carsten Ziske |
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X Demographics
The data shown below were collected from the profiles of 21 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 | 9 | 43% |
| Mexico | 1 | 5% |
| Italy | 1 | 5% |
| Greece | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 4 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley demographics
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 12 | 14% |
| Researcher | 10 | 11% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 3 | 3% |
| Student > Master | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 49 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Arts and Humanities | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 50 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 74. 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 06 January 2026.
All research outputs
#726,895
of 34,306,620 outputs
Outputs from The Lancet Haematology
#117
of 1,582 outputs
Outputs of similar age
#13,785
of 468,168 outputs
Outputs of similar age from The Lancet Haematology
#4
of 46 outputs
Altmetric has tracked 34,306,620 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.1. This one has done particularly well, scoring higher than 92% 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 468,168 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 97% of its contemporaries.
We're also able to compare this research output to 46 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 91% of its contemporaries.