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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-neuron RNA-Seq: technical feasibility and reproducibility
|
|---|---|
| Published in |
Frontiers in Genetics, January 2012
|
| DOI | 10.3389/fgene.2012.00124 |
| Pubmed ID | |
| Authors |
Shenfeng Qiu, Shujun Luo, Oleg Evgrafov, Robin Li, Gary P. Schroth, Pat Levitt, James A. Knowles, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 6% |
| United Kingdom | 3 | 1% |
| Japan | 2 | <1% |
| Italy | 2 | <1% |
| Brazil | 1 | <1% |
| Finland | 1 | <1% |
| Portugal | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 223 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 29% |
| Researcher | 59 | 23% |
| Student > Master | 18 | 7% |
| Student > Bachelor | 16 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 44 | 17% |
| Unknown | 30 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 138 | 55% |
| Neuroscience | 31 | 12% |
| Biochemistry, Genetics and Molecular Biology | 22 | 9% |
| Medicine and Dentistry | 9 | 4% |
| Engineering | 6 | 2% |
| Other | 13 | 5% |
| Unknown | 34 | 13% |
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 31 August 2021.
All research outputs
#3,041,874
of 25,270,999 outputs
Outputs from Frontiers in Genetics
#774
of 13,608 outputs
Outputs of similar age
#23,170
of 255,715 outputs
Outputs of similar age from Frontiers in Genetics
#26
of 255 outputs
Altmetric has tracked 25,270,999 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,608 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 94% 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 255,715 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 90% of its contemporaries.
We're also able to compare this research output to 255 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 90% of its contemporaries.