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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Jak2V617F and Dnmt3a loss cooperate to induce myelofibrosis through activated enhancer-driven inflammation
|
|---|---|
| Published in |
Blood, October 2018
|
| DOI | 10.1182/blood-2018-04-846220 |
| Pubmed ID | |
| Authors |
Sebastien Jacquelin, Jasmin Straube, Leanne Cooper, Therese Vu, Axia Song, Megan Bywater, Eva Baxter, Matthew Heidecker, Brad Wackrow, Amy Porter, Victoria Ling, Joanne Green, Rebecca Austin, Stephen Kazakoff, Nicola Waddell, Luke B Hesson, John E Pimanda, Frank Stegelmann, Lars Bullinger, Konstanze Döhner, Raajit K Rampal, Dirk Heckl, Geoffrey R Hill, Steven W Lane |
X Demographics
The data shown below were collected from the profiles of 30 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 | 9 | 30% |
| Spain | 4 | 13% |
| France | 4 | 13% |
| Australia | 1 | 3% |
| Singapore | 1 | 3% |
| Ireland | 1 | 3% |
| El Salvador | 1 | 3% |
| Canada | 1 | 3% |
| Russia | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 70% |
| Scientists | 7 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 27 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 22% |
| Medicine and Dentistry | 17 | 22% |
| Agricultural and Biological Sciences | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 33 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 January 2019.
All research outputs
#2,031,477
of 25,385,509 outputs
Outputs from Blood
#2,003
of 33,249 outputs
Outputs of similar age
#42,444
of 361,837 outputs
Outputs of similar age from Blood
#72
of 674 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,249 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 93% 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 361,837 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 88% of its contemporaries.
We're also able to compare this research output to 674 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.