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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
|
|---|---|
| Published in |
Genome Medicine, October 2022
|
| DOI | 10.1186/s13073-022-01121-y |
| Pubmed ID | |
| Authors |
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz, Nataly Kravchenko-Balasha |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 10 | 32% |
| United States | 6 | 19% |
| United Kingdom | 2 | 6% |
| Switzerland | 1 | 3% |
| Portugal | 1 | 3% |
| Hungary | 1 | 3% |
| Unknown | 10 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 58% |
| Scientists | 10 | 32% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 16% |
| Professor | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Unspecified | 1 | 5% |
| Mathematics | 1 | 5% |
| Computer Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 May 2023.
All research outputs
#1,374,725
of 25,387,480 outputs
Outputs from Genome Medicine
#290
of 1,579 outputs
Outputs of similar age
#29,653
of 437,485 outputs
Outputs of similar age from Genome Medicine
#7
of 34 outputs
Altmetric has tracked 25,387,480 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 1,579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 81% 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 437,485 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 93% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.