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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next Generation Sequencing-Based Analysis of Repetitive DNA in the Model Dioceous Plant Silene latifolia
|
|---|---|
| Published in |
PLOS ONE, November 2011
|
| DOI | 10.1371/journal.pone.0027335 |
| Pubmed ID | |
| Authors |
Jiří Macas, Eduard Kejnovský, Pavel Neumann, Petr Novák, Andrea Koblížková, Boris Vyskot |
| Abstract |
Silene latifolia is a dioecious [corrected] plant with well distinguished X and Y chromosomes that is used as a model to study sex determination and sex chromosome evolution in plants. However, efficient utilization of this species has been hampered by the lack of large-scale sequencing resources and detailed analysis of its genome composition, especially with respect to repetitive DNA, which makes up the majority of the genome. |
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 | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 4 | 3% |
| Spain | 2 | 1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Costa Rica | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Russia | 1 | <1% |
| Canada | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 133 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 31% |
| Student > Ph. D. Student | 26 | 18% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 12 | 8% |
| Professor | 9 | 6% |
| Other | 25 | 17% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 61% |
| Biochemistry, Genetics and Molecular Biology | 28 | 19% |
| Environmental Science | 5 | 3% |
| Medicine and Dentistry | 3 | 2% |
| Mathematics | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 17 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 November 2011.
All research outputs
#12,850,437
of 22,656,971 outputs
Outputs from PLOS ONE
#100,004
of 193,432 outputs
Outputs of similar age
#84,564
of 142,895 outputs
Outputs of similar age from PLOS ONE
#1,296
of 2,628 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 47th percentile – i.e., 47% 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 142,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,628 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.