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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of diverse cell populations in skeletal muscles and biomarkers for intramuscular fat of chicken by single-cell RNA sequencing
|
|---|---|
| Published in |
BMC Genomics, October 2020
|
| DOI | 10.1186/s12864-020-07136-2 |
| Pubmed ID | |
| Authors |
Jinghui Li, Siyuan Xing, Guiping Zhao, Maiqing Zheng, Xinting Yang, Jiahong Sun, Jie Wen, Ranran Liu |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 11% |
| France | 1 | 11% |
| United States | 1 | 11% |
| United Kingdom | 1 | 11% |
| Italy | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 1 | 6% |
| Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 33% |
| Agricultural and Biological Sciences | 4 | 22% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 November 2020.
All research outputs
#6,620,471
of 25,754,670 outputs
Outputs from BMC Genomics
#2,543
of 11,319 outputs
Outputs of similar age
#136,095
of 442,392 outputs
Outputs of similar age from BMC Genomics
#36
of 192 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,319 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% 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 442,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.