You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of double-positive thymocytes at single-cell resolution
|
|---|---|
| Published in |
Genome Medicine, March 2021
|
| DOI | 10.1186/s13073-021-00861-7 |
| Pubmed ID | |
| Authors |
Young Li, Kun Li, Lianbang Zhu, Bin Li, Dandan Zong, Pengfei Cai, Chen Jiang, Pengcheng Du, Jun Lin, Kun Qu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Student > Bachelor | 9 | 17% |
| Researcher | 8 | 15% |
| Student > Master | 3 | 6% |
| Student > Doctoral Student | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 23% |
| Immunology and Microbiology | 10 | 19% |
| Agricultural and Biological Sciences | 6 | 11% |
| Medicine and Dentistry | 4 | 8% |
| Computer Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 March 2021.
All research outputs
#15,680,078
of 23,301,510 outputs
Outputs from Genome Medicine
#1,335
of 1,456 outputs
Outputs of similar age
#261,596
of 429,935 outputs
Outputs of similar age from Genome Medicine
#53
of 58 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 5th percentile – i.e., 5% 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 429,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.