| Title |
Identifying EGFR-Expressed Cells and Detecting EGFR Multi-Mutations at Single-Cell Level by Microfluidic Chip
|
|---|---|
| Published in |
Nano-Micro Letters, November 2017
|
| DOI | 10.1007/s40820-017-0168-y |
| Pubmed ID | |
| Authors |
Ren Li, Mingxing Zhou, Jine Li, Zihua Wang, Weikai Zhang, Chunyan Yue, Yan Ma, Hailin Peng, Zewen Wei, Zhiyuan Hu |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 16% |
| Student > Bachelor | 3 | 16% |
| Other | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 26% |
| Engineering | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Materials Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 42% |
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 06 November 2018.
All research outputs
#15,486,175
of 23,012,811 outputs
Outputs from Nano-Micro Letters
#259
of 972 outputs
Outputs of similar age
#203,515
of 325,275 outputs
Outputs of similar age from Nano-Micro Letters
#14
of 28 outputs
Altmetric has tracked 23,012,811 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 972 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 68% 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 325,275 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 28 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.