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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A machine learning model based on tumor and immune biomarkers to predict undetectable MRD and survival outcomes in multiple myeloma
|
|---|---|
| Published in |
Clinical Cancer Research, January 2022
|
| DOI | 10.1158/1078-0432.ccr-21-3430 |
| Pubmed ID | |
| Authors |
Camila Guerrero, Noemi Puig, Maria-Teresa Cedena, Ibai Goicoechea, Cristina Perez, Juan-José Garcés, Cirino Botta, Maria-Jose Calasanz, Norma C Gutierrez, Maria-Luisa Martin-Ramos, Albert Oriol, Rafael Rios, Miguel-Teodoro Hernandez, Rafael Martinez-Martinez, Joan Bargay, Felipe de Arriba, Luis Palomera, Ana Pilar Gonzalez-Rodriguez, Adrian Mosquera-Orgueira, Marta-Sonia Gonzalez-Perez, Joaquin Martinez-Lopez, Juan-José Lahuerta, Laura Rosiñol, Joan Blade, Maria-Victoria Mateos, Jesus F San-Miguel, Bruno Paiva |
X Demographics
The data shown below were collected from the profiles of 34 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 | 8 | 24% |
| Spain | 7 | 21% |
| France | 2 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Nigeria | 1 | 3% |
| Mexico | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 13 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 76% |
| Scientists | 7 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 22 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Chemistry | 3 | 7% |
| Unspecified | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 25 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 26 August 2022.
All research outputs
#1,527,782
of 25,837,817 outputs
Outputs from Clinical Cancer Research
#1,065
of 13,372 outputs
Outputs of similar age
#37,628
of 520,045 outputs
Outputs of similar age from Clinical Cancer Research
#40
of 215 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 91% 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 520,045 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 92% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.