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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of key genes and regulators associated with carotenoid metabolism in apricot (Prunus armeniaca) fruit using weighted gene coexpression network analysis
|
|---|---|
| Published in |
BMC Genomics, November 2019
|
| DOI | 10.1186/s12864-019-6261-5 |
| Pubmed ID | |
| Authors |
Lina Zhang, Qiuyun Zhang, Wenhui Li, Shikui Zhang, Wanpeng Xi |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 17% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 31% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 March 2024.
All research outputs
#6,828,672
of 25,605,018 outputs
Outputs from BMC Genomics
#2,656
of 11,289 outputs
Outputs of similar age
#139,140
of 476,613 outputs
Outputs of similar age from BMC Genomics
#48
of 254 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,289 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 476,613 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 70% of its contemporaries.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.