You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Monitoring of post-transplant MLL-PTD as minimal residual disease can predict relapse after allogeneic HSCT in patients with acute myeloid leukemia and myelodysplastic syndrome
|
|---|---|
| Published in |
BMC Cancer, January 2022
|
| DOI | 10.1186/s12885-021-09051-5 |
| Pubmed ID | |
| Authors |
Jun Kong, Meng-Ge Gao, Ya-Zhen Qin, Yu Wang, Chen-Hua Yan, Yu-Qian Sun, Ying-Jun Chang, Lan-Ping Xu, Xiao-Hui Zhang, Kai-Yan Liu, Xiao-Jun Huang, Xiao-Su Zhao |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Unspecified | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 19% |
| Unspecified | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Environmental Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 January 2022.
All research outputs
#2,783,350
of 22,875,477 outputs
Outputs from BMC Cancer
#570
of 8,323 outputs
Outputs of similar age
#68,262
of 500,526 outputs
Outputs of similar age from BMC Cancer
#14
of 225 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,323 research outputs from this source. They receive a mean Attention Score of 4.3. 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 500,526 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 86% of its contemporaries.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.