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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data
|
|---|---|
| Published in |
Genome Medicine, December 2021
|
| DOI | 10.1186/s13073-021-01001-x |
| Pubmed ID | |
| Authors |
Coral Fustero-Torre, María José Jiménez-Santos, Santiago García-Martín, Carlos Carretero-Puche, Luis García-Jimeno, Vadym Ivanchuk, Tomás Di Domenico, Gonzalo Gómez-López, Fátima Al-Shahrour |
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 % |
|---|---|---|
| Spain | 6 | 18% |
| United Kingdom | 4 | 12% |
| United States | 2 | 6% |
| Hong Kong | 1 | 3% |
| Italy | 1 | 3% |
| Germany | 1 | 3% |
| Australia | 1 | 3% |
| France | 1 | 3% |
| Argentina | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 56% |
| Scientists | 14 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 36% |
| Agricultural and Biological Sciences | 7 | 11% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 20 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 04 January 2024.
All research outputs
#1,237,202
of 25,628,260 outputs
Outputs from Genome Medicine
#246
of 1,601 outputs
Outputs of similar age
#29,781
of 514,526 outputs
Outputs of similar age from Genome Medicine
#4
of 27 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 84% 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 514,526 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 94% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.