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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic and outcome analyses of Ph-like ALL in NCI standard-risk patients: a report from the Children's Oncology Group
|
|---|---|
| Published in |
Blood, July 2018
|
| DOI | 10.1182/blood-2018-04-841676 |
| Pubmed ID | |
| Authors |
Kathryn G Roberts, Shalini C Reshmi, Richard C Harvey, I-Ming Chen, Kinnari Patel, Eileen Stonerock, Heather Jenkins, Yunfeng Dai, Marc Valentine, Zhaohui Gu, Yaqi Zhao, Jinghui Zhang, Debbie Payne-Turner, Meenakshi Devidas, Nyla A Heerema, Andrew J Carroll, Elizabeth A Raetz, Michael J Borowitz, Brent L Wood, Leonard A Mattano, Kelly W Maloney, William L Carroll, Mignon L Loh, Cheryl L Willman, Julie M Gastier-Foster, Charles G Mullighan, Stephen P Hunger |
X Demographics
The data shown below were collected from the profiles of 21 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 | 8 | 38% |
| United Kingdom | 2 | 10% |
| Japan | 1 | 5% |
| France | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Turkey | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 9 | 43% |
| Members of the public | 6 | 29% |
| Scientists | 4 | 19% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 13 | 15% |
| Researcher | 13 | 15% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Postgraduate | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Other | 15 | 17% |
| Unknown | 25 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 39% |
| Biochemistry, Genetics and Molecular Biology | 15 | 17% |
| Agricultural and Biological Sciences | 5 | 6% |
| Immunology and Microbiology | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 30 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 24 September 2018.
All research outputs
#2,892,741
of 25,837,817 outputs
Outputs from Blood
#3,341
of 33,771 outputs
Outputs of similar age
#55,706
of 342,084 outputs
Outputs of similar age from Blood
#83
of 216 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,771 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 89% 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 342,084 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 83% of its contemporaries.
We're also able to compare this research output to 216 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 61% of its contemporaries.