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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single cell characterization of B-lymphoid differentiation and leukemic cell states during chemotherapy in ETV6-RUNX1-positive pediatric leukemia identifies drug-targetable transcription factor activities
|
|---|---|
| Published in |
Genome Medicine, November 2020
|
| DOI | 10.1186/s13073-020-00799-2 |
| Pubmed ID | |
| Authors |
Juha Mehtonen, Susanna Teppo, Mari Lahnalampi, Aleksi Kokko, Riina Kaukonen, Laura Oksa, Maria Bouvy-Liivrand, Alena Malyukova, Artturi Mäkinen, Saara Laukkanen, Petri I. Mäkinen, Samuli Rounioja, Pekka Ruusuvuori, Olle Sangfelt, Riikka Lund, Tapio Lönnberg, Olli Lohi, Merja Heinäniemi |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 3 | 23% |
| United Kingdom | 1 | 8% |
| United States | 1 | 8% |
| Austria | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 6 | 10% |
| Unknown | 22 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 29% |
| Medicine and Dentistry | 9 | 15% |
| Agricultural and Biological Sciences | 4 | 6% |
| Immunology and Microbiology | 2 | 3% |
| Computer Science | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 26 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 January 2021.
All research outputs
#3,840,172
of 23,372,207 outputs
Outputs from Genome Medicine
#799
of 1,462 outputs
Outputs of similar age
#102,505
of 508,412 outputs
Outputs of similar age from Genome Medicine
#19
of 31 outputs
Altmetric has tracked 23,372,207 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 45th percentile – i.e., 45% 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 508,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.