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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stratifying tissue heterogeneity with scalable single-cell assays
|
|---|---|
| Published in |
Nature Methods, February 2017
|
| DOI | 10.1038/nmeth.4209 |
| Pubmed ID | |
| Authors |
Kun Zhang |
X Demographics
The data shown below were collected from the profiles of 22 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 | 5 | 23% |
| Singapore | 2 | 9% |
| Canada | 2 | 9% |
| Spain | 2 | 9% |
| New Zealand | 1 | 5% |
| Ireland | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 8 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 64% |
| Members of the public | 7 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 1% |
| China | 1 | 1% |
| France | 1 | 1% |
| Unknown | 68 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 28% |
| Student > Ph. D. Student | 17 | 24% |
| Student > Master | 9 | 13% |
| Professor | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 34% |
| Biochemistry, Genetics and Molecular Biology | 20 | 28% |
| Engineering | 8 | 11% |
| Medicine and Dentistry | 5 | 7% |
| Neuroscience | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 6 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 April 2017.
All research outputs
#2,870,435
of 24,611,662 outputs
Outputs from Nature Methods
#2,615
of 5,231 outputs
Outputs of similar age
#51,599
of 315,477 outputs
Outputs of similar age from Nature Methods
#55
of 97 outputs
Altmetric has tracked 24,611,662 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one is in the 49th percentile – i.e., 49% 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 315,477 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 83% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.