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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequencing of mitochondrial genomes of nine Aspergillus and Penicillium species identifies mobile introns and accessory genes as main sources of genome size variability
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-698 |
| Pubmed ID | |
| Authors |
Vinita Joardar, Natalie F Abrams, Jessica Hostetler, Paul J Paukstelis, Suchitra Pakala, Suman B Pakala, Nikhat Zafar, Olukemi O Abolude, Gary Payne, Alex Andrianopoulos, David W Denning, William C Nierman |
| Abstract |
The genera Aspergillus and Penicillium include some of the most beneficial as well as the most harmful fungal species such as the penicillin-producer Penicillium chrysogenum and the human pathogen Aspergillus fumigatus, respectively. Their mitochondrial genomic sequences may hold vital clues into the mechanisms of their evolution, population genetics, and biology, yet only a handful of these genomes have been fully sequenced and annotated. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Denmark | 2 | 2% |
| Brazil | 2 | 2% |
| Unknown | 109 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 27% |
| Researcher | 21 | 18% |
| Student > Master | 21 | 18% |
| Student > Bachelor | 14 | 12% |
| Professor > Associate Professor | 7 | 6% |
| Other | 13 | 11% |
| Unknown | 8 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 43% |
| Biochemistry, Genetics and Molecular Biology | 31 | 27% |
| Chemistry | 4 | 3% |
| Computer Science | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 13 | 11% |
| Unknown | 13 | 11% |
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 18 December 2012.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from BMC Genomics
#6,575
of 11,250 outputs
Outputs of similar age
#186,082
of 286,325 outputs
Outputs of similar age from BMC Genomics
#112
of 202 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,250 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 286,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.