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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning of Stem Cell Identities From Single-Cell Expression Data via Regulatory Network Archetypes
|
|---|---|
| Published in |
Frontiers in Genetics, January 2019
|
| DOI | 10.3389/fgene.2019.00002 |
| Pubmed ID | |
| Authors |
Patrick S. Stumpf, Ben D. MacArthur |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Australia | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 12 | 17% |
| Unspecified | 9 | 13% |
| Student > Bachelor | 5 | 7% |
| Student > Master | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 20% |
| Biochemistry, Genetics and Molecular Biology | 13 | 19% |
| Unspecified | 9 | 13% |
| Mathematics | 4 | 6% |
| Computer Science | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 15 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 March 2019.
All research outputs
#15,104,836
of 25,278,281 outputs
Outputs from Frontiers in Genetics
#3,683
of 13,610 outputs
Outputs of similar age
#231,939
of 450,231 outputs
Outputs of similar age from Frontiers in Genetics
#109
of 305 outputs
Altmetric has tracked 25,278,281 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,610 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 71% 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 450,231 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 305 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 60% of its contemporaries.