| Title |
Single-Cell Heterogeneity Analysis and CRISPR Screen Identify Key β-Cell-Specific Disease Genes
|
|---|---|
| Published in |
Cell Reports, March 2019
|
| DOI | 10.1016/j.celrep.2019.02.043 |
| Pubmed ID | |
| Authors |
Zhou Fang, Chen Weng, Haiyan Li, Ran Tao, Weihua Mai, Xiaoxiao Liu, Leina Lu, Sisi Lai, Qing Duan, Carlos Alvarez, Peter Arvan, Anthony Wynshaw-Boris, Yun Li, Yanxin Pei, Fulai Jin, Yan Li |
X Demographics
The data shown below were collected from the profiles of 41 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 | 11 | 27% |
| United Kingdom | 4 | 10% |
| Canada | 4 | 10% |
| Spain | 2 | 5% |
| Australia | 1 | 2% |
| France | 1 | 2% |
| Italy | 1 | 2% |
| Taiwan | 1 | 2% |
| Austria | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 13 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 56% |
| Scientists | 16 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 22% |
| Researcher | 28 | 19% |
| Student > Bachelor | 13 | 9% |
| Student > Master | 13 | 9% |
| Professor > Associate Professor | 7 | 5% |
| Other | 15 | 10% |
| Unknown | 40 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 34% |
| Agricultural and Biological Sciences | 20 | 14% |
| Medicine and Dentistry | 15 | 10% |
| Computer Science | 4 | 3% |
| Immunology and Microbiology | 2 | 1% |
| Other | 12 | 8% |
| Unknown | 44 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 September 2023.
All research outputs
#1,459,534
of 25,519,924 outputs
Outputs from Cell Reports
#3,356
of 13,074 outputs
Outputs of similar age
#33,857
of 368,483 outputs
Outputs of similar age from Cell Reports
#99
of 325 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 74% 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 368,483 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 325 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 69% of its contemporaries.