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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome sequence and virulence variation-related transcriptome profiles of Curvularia lunata, an important maize pathogenic fungus
|
|---|---|
| Published in |
BMC Genomics, July 2014
|
| DOI | 10.1186/1471-2164-15-627 |
| Pubmed ID | |
| Authors |
Shigang Gao, Yaqian Li, Jinxin Gao, Yujuan Suo, Kehe Fu, Yingying Li, Jie Chen |
| Abstract |
Curvularia lunata is an important maize foliar fungal pathogen that distributes widely in maize growing area in China. Genome sequencing of the pathogen will provide important information for globally understanding its virulence mechanism. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 27% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 9 | 14% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 68% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Chemistry | 2 | 3% |
| Computer Science | 2 | 3% |
| Nursing and Health Professions | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 16% |
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 29 July 2014.
All research outputs
#13,866,700
of 23,498,099 outputs
Outputs from BMC Genomics
#5,117
of 10,787 outputs
Outputs of similar age
#111,384
of 230,495 outputs
Outputs of similar age from BMC Genomics
#80
of 203 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 230,495 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 50% of its contemporaries.
We're also able to compare this research output to 203 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 58% of its contemporaries.