| Title |
Identifying deer antler uhrf1 proliferation and s100a10 mineralization genes using comparative RNA-seq
|
|---|---|
| Published in |
Stem Cell Research & Therapy, October 2018
|
| DOI | 10.1186/s13287-018-1027-6 |
| Pubmed ID | |
| Authors |
Dai Fei Elmer Ker, Dan Wang, Rashmi Sharma, Bin Zhang, Ben Passarelli, Norma Neff, Chunyi Li, William Maloney, Stephen Quake, Yunzhi Peter Yang |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Austria | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 40% |
| Student > Master | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Other | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 40% |
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Medicine and Dentistry | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 6 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 20 June 2019.
All research outputs
#697,054
of 23,109,468 outputs
Outputs from Stem Cell Research & Therapy
#24
of 2,439 outputs
Outputs of similar age
#16,923
of 350,967 outputs
Outputs of similar age from Stem Cell Research & Therapy
#2
of 79 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 350,967 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 95% of its contemporaries.
We're also able to compare this research output to 79 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 97% of its contemporaries.