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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epigenetic evolution and lineage histories of chronic lymphocytic leukaemia
|
|---|---|
| Published in |
Nature, May 2019
|
| DOI | 10.1038/s41586-019-1198-z |
| Pubmed ID | |
| Authors |
Federico Gaiti, Ronan Chaligne, Hongcang Gu, Ryan M. Brand, Steven Kothen-Hill, Rafael C. Schulman, Kirill Grigorev, Davide Risso, Kyu-Tae Kim, Alessandro Pastore, Kevin Y. Huang, Alicia Alonso, Caroline Sheridan, Nathaniel D. Omans, Evan Biederstedt, Kendell Clement, Lili Wang, Joshua A. Felsenfeld, Erica B. Bhavsar, Martin J. Aryee, John N. Allan, Richard Furman, Andreas Gnirke, Catherine J. Wu, Alexander Meissner, Dan A. Landau |
X Demographics
The data shown below were collected from the profiles of 261 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 | 89 | 34% |
| United Kingdom | 22 | 8% |
| Spain | 9 | 3% |
| Italy | 7 | 3% |
| Germany | 7 | 3% |
| Mexico | 6 | 2% |
| Australia | 6 | 2% |
| France | 5 | 2% |
| Netherlands | 4 | 2% |
| Other | 27 | 10% |
| Unknown | 79 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 125 | 48% |
| Members of the public | 125 | 48% |
| Practitioners (doctors, other healthcare professionals) | 7 | 3% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 457 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 457 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 104 | 23% |
| Researcher | 87 | 19% |
| Student > Master | 43 | 9% |
| Student > Bachelor | 27 | 6% |
| Student > Doctoral Student | 26 | 6% |
| Other | 68 | 15% |
| Unknown | 102 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 140 | 31% |
| Agricultural and Biological Sciences | 75 | 16% |
| Medicine and Dentistry | 41 | 9% |
| Computer Science | 21 | 5% |
| Immunology and Microbiology | 20 | 4% |
| Other | 52 | 11% |
| Unknown | 108 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 189. 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 19 March 2024.
All research outputs
#215,305
of 25,758,695 outputs
Outputs from Nature
#12,608
of 98,678 outputs
Outputs of similar age
#4,274
of 366,263 outputs
Outputs of similar age from Nature
#274
of 1,033 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done well, scoring higher than 87% 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 366,263 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 98% of its contemporaries.
We're also able to compare this research output to 1,033 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.