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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dual indexed library design enables compatibility of in-Drop single-cell RNA-sequencing with exAMP chemistry sequencing platforms
|
|---|---|
| Published in |
BMC Genomics, July 2020
|
| DOI | 10.1186/s12864-020-06843-0 |
| Pubmed ID | |
| Authors |
Austin N. Southard-Smith, Alan J. Simmons, Bob Chen, Angela L. Jones, Marisol A. Ramirez Solano, Paige N. Vega, Cherie’ R. Scurrah, Yue Zhao, Michael J. Brenan, Jiekun Xuan, Martha J. Shrubsole, Ely B. Porter, Xi Chen, Colin J. H. Brenan, Qi Liu, Lauren N. M. Quigley, Ken S. Lau |
X Demographics
The data shown below were collected from the profiles of 21 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 States | 12 | 57% |
| Australia | 2 | 10% |
| United Kingdom | 1 | 5% |
| Italy | 1 | 5% |
| Unknown | 5 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Scientists | 7 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 2 | 7% |
| Librarian | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Agricultural and Biological Sciences | 3 | 11% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 15 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 19 January 2023.
All research outputs
#497,646
of 25,998,826 outputs
Outputs from BMC Genomics
#45
of 11,400 outputs
Outputs of similar age
#15,450
of 435,671 outputs
Outputs of similar age from BMC Genomics
#1
of 146 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. 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 435,671 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 96% of its contemporaries.
We're also able to compare this research output to 146 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 99% of its contemporaries.