| Title |
Label-free cell separation and sorting in microfluidic systems
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, April 2010
|
| DOI | 10.1007/s00216-010-3721-9 |
| Pubmed ID | |
| Authors |
Daniel R. Gossett, Westbrook M. Weaver, Albert J. Mach, Soojung Claire Hur, Henry Tat Kwong Tse, Wonhee Lee, Hamed Amini, Dino Di Carlo |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 2% |
| France | 7 | <1% |
| United Kingdom | 7 | <1% |
| Germany | 5 | <1% |
| Switzerland | 3 | <1% |
| Canada | 3 | <1% |
| Ireland | 2 | <1% |
| Spain | 2 | <1% |
| Mexico | 2 | <1% |
| Other | 17 | 1% |
| Unknown | 1162 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 383 | 31% |
| Student > Master | 192 | 16% |
| Researcher | 177 | 14% |
| Student > Bachelor | 99 | 8% |
| Professor > Associate Professor | 54 | 4% |
| Other | 161 | 13% |
| Unknown | 165 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 502 | 41% |
| Agricultural and Biological Sciences | 162 | 13% |
| Physics and Astronomy | 102 | 8% |
| Biochemistry, Genetics and Molecular Biology | 72 | 6% |
| Chemistry | 64 | 5% |
| Other | 122 | 10% |
| Unknown | 207 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 16 April 2024.
All research outputs
#1,405,084
of 25,918,104 outputs
Outputs from Analytical & Bioanalytical Chemistry
#62
of 9,789 outputs
Outputs of similar age
#4,549
of 108,134 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#1
of 72 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,789 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 99% 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 108,134 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 72 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 98% of its contemporaries.