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X Demographics
Mendeley readers
Attention Score in Context
Title |
Toward Modeling Context-Specific EMT Regulatory Networks Using Temporal Single Cell RNA-Seq Data
|
---|---|
Published in |
Frontiers in Molecular Biosciences, April 2020
|
DOI | 10.3389/fmolb.2020.00054 |
Pubmed ID | |
Authors |
Daniel Ramirez, Vivek Kohar, Mingyang Lu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 23% |
France | 1 | 8% |
Italy | 1 | 8% |
Switzerland | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 62% |
Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Student > Bachelor | 4 | 9% |
Professor > Associate Professor | 4 | 9% |
Student > Doctoral Student | 3 | 6% |
Researcher | 3 | 6% |
Other | 4 | 9% |
Unknown | 16 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 28% |
Agricultural and Biological Sciences | 5 | 11% |
Engineering | 3 | 6% |
Mathematics | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 4 | 9% |
Unknown | 20 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 September 2020.
All research outputs
#4,097,312
of 24,171,511 outputs
Outputs from Frontiers in Molecular Biosciences
#367
of 4,314 outputs
Outputs of similar age
#90,345
of 379,289 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#10
of 66 outputs
Altmetric has tracked 24,171,511 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,314 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 91% 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 379,289 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 75% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.