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Attention Score in Context
| Title |
Corrigendum: Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, March 2017
|
| DOI | 10.3389/fbioe.2017.00011 |
| Pubmed ID | |
| Authors |
Naveen Ramalingam, Brian Fowler, Lukasz Szpankowski, Anne A. Leyrat, Kyle Hukari, Myo Thu Maung, Wiganda Yorza, Michael Norris, Chris Cesar, Joe Shuga, Michael L. Gonzales, Chad D. Sanada, Xiaohui Wang, Rudy Yeung, Win Hwang, Justin Axsom, Naga Sai Gopi Krishna Devaraju, Ninez Delos Angeles, Cassandra Greene, Ming-Fang Zhou, Eng-Seng Ong, Chang-Chee Poh, Marcos Lam, Henry Choi, Zaw Htoo, Leo Lee, Chee-Sing Chin, Zhong-Wei Shen, Chong T. Lu, Ilona Holcomb, Aik Ooi, Craig Stolarczyk, Tony Shuga, Kenneth J. Livak, Cate Larsen, Marc Unger, Jay A. A. West |
| Abstract |
[This corrects the article on p. 70 in vol. 4, PMID: 27709111.]. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 June 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,625
of 6,687 outputs
Outputs of similar age
#268,643
of 307,937 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#26
of 26 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,687 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 307,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.