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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Microchip platforms for multiplex single-cell functional proteomics with applications to immunology and cancer research
|
|---|---|
| Published in |
Genome Medicine, August 2013
|
| DOI | 10.1186/gm479 |
| Pubmed ID | |
| Authors |
Wei Wei, Young Shik Shin, Chao Ma, Jun Wang, Meltem Elitas, Rong Fan, James R Heath |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 97 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 37% |
| Researcher | 18 | 18% |
| Student > Bachelor | 11 | 11% |
| Other | 8 | 8% |
| Student > Master | 8 | 8% |
| Other | 14 | 14% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 31% |
| Engineering | 24 | 24% |
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Chemistry | 6 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 6 | 6% |
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 30 May 2023.
All research outputs
#4,534,741
of 23,323,574 outputs
Outputs from Genome Medicine
#858
of 1,457 outputs
Outputs of similar age
#37,251
of 201,367 outputs
Outputs of similar age from Genome Medicine
#6
of 12 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 40th percentile – i.e., 40% 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 201,367 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 80% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.