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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-cell map of diverse immune phenotypes in the acute myeloid leukemia microenvironment
|
|---|---|
| Published in |
Biomarker Research, March 2021
|
| DOI | 10.1186/s40364-021-00265-0 |
| Pubmed ID | |
| Authors |
Rongqun Guo, Mengdie Lü, Fujiao Cao, Guanghua Wu, Fengcai Gao, Haili Pang, Yadan Li, Yinyin Zhang, Haizhou Xing, Chunyan Liang, Tianxin Lyu, Chunyan Du, Yingmei Li, Rong Guo, Xinsheng Xie, Wei Li, Delong Liu, Yongping Song, Zhongxing Jiang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 7 | 9% |
| Other | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 34 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 13 | 16% |
| Immunology and Microbiology | 9 | 11% |
| Agricultural and Biological Sciences | 3 | 4% |
| Computer Science | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 36 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 March 2021.
All research outputs
#15,670,897
of 23,285,523 outputs
Outputs from Biomarker Research
#167
of 329 outputs
Outputs of similar age
#259,126
of 419,815 outputs
Outputs of similar age from Biomarker Research
#8
of 15 outputs
Altmetric has tracked 23,285,523 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 419,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.