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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bone mesenchymal stem cell-derived exosomal microRNA-7-5p inhibits progression of acute myeloid leukemia by targeting OSBPL11
|
|---|---|
| Published in |
Journal of Nanobiotechnology, January 2022
|
| DOI | 10.1186/s12951-021-01206-7 |
| Pubmed ID | |
| Authors |
Duanfeng Jiang, Xin Wu, Xiaoying Sun, Wei Tan, Xin Dai, Youbang Xie, Ashuai Du, Qiangqiang Zhao |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 2 | 22% |
| Turkey | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 3 | 33% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 16 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Medicine and Dentistry | 5 | 15% |
| Unspecified | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 January 2022.
All research outputs
#4,681,322
of 22,880,230 outputs
Outputs from Journal of Nanobiotechnology
#153
of 1,424 outputs
Outputs of similar age
#116,663
of 502,478 outputs
Outputs of similar age from Journal of Nanobiotechnology
#4
of 128 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They receive a mean Attention Score of 3.5. 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 502,478 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 76% of its contemporaries.
We're also able to compare this research output to 128 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 97% of its contemporaries.