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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-site tumor sampling highlights molecular intra-tumor heterogeneity in malignant pleural mesothelioma
|
|---|---|
| Published in |
Genome Medicine, July 2021
|
| DOI | 10.1186/s13073-021-00931-w |
| Pubmed ID | |
| Authors |
Clément Meiller, François Montagne, Theo Z. Hirsch, Stefano Caruso, Julien de Wolf, Quentin Bayard, Jean-Baptiste Assié, Léa Meunier, Yuna Blum, Lisa Quetel, Laure Gibault, Ecaterina Pintilie, Cécile Badoual, Sarah Humez, Françoise Galateau-Sallé, Marie-Christine Copin, Eric Letouzé, Arnaud Scherpereel, Jessica Zucman-Rossi, Françoise Le Pimpec-Barthes, Marie-Claude Jaurand, Didier Jean |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 29% |
| United Kingdom | 1 | 14% |
| Italy | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Bachelor | 4 | 14% |
| Other | 4 | 14% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 28% |
| Medicine and Dentistry | 7 | 24% |
| Nursing and Health Professions | 1 | 3% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 October 2021.
All research outputs
#6,371,375
of 23,308,124 outputs
Outputs from Genome Medicine
#1,050
of 1,456 outputs
Outputs of similar age
#129,951
of 436,461 outputs
Outputs of similar age from Genome Medicine
#27
of 41 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 27th percentile – i.e., 27% 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 436,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.