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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic dissection of heat-responsive physiological traits to improve adaptation and increase yield potential in soft winter wheat
|
|---|---|
| Published in |
BMC Genomics, April 2020
|
| DOI | 10.1186/s12864-020-6717-7 |
| Pubmed ID | |
| Authors |
Sumit Pradhan, Md Ali Babar, Guihua Bai, Jahangir Khan, Dipendra Shahi, Muhsin Avci, Jia Guo, Jordan McBreen, Senthold Asseng, Salvador Gezan, Byung-Kee Baik, Ann Blount, Stephen Harrison, Suraj Sapkota, Paul St. Amand, Sanju Kunwar |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 8 | 16% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Professor | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 20 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 37% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 3 | 6% |
| Environmental Science | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 April 2020.
All research outputs
#14,478,822
of 23,203,401 outputs
Outputs from BMC Genomics
#5,727
of 10,725 outputs
Outputs of similar age
#207,992
of 374,442 outputs
Outputs of similar age from BMC Genomics
#58
of 137 outputs
Altmetric has tracked 23,203,401 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,725 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 374,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 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 54% of its contemporaries.