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Mendeley readers
Attention Score in Context
| Title |
Fast forward genetics to identify mutations causing a high light tolerant phenotype in Chlamydomonas reinhardtii by whole-genome-sequencing
|
|---|---|
| Published in |
BMC Genomics, February 2015
|
| DOI | 10.1186/s12864-015-1232-y |
| Pubmed ID | |
| Authors |
Lisa Schierenbeck, David Ries, Kristin Rogge, Sabrina Grewe, Bernd Weisshaar, Olaf Kruse |
| Abstract |
High light tolerance of microalgae is a desired phenotype for efficient cultivation in large scale production systems under fluctuating outdoor conditions. Outdoor cultivation requires the use of either wild-type or non-GMO derived mutant strains due to safety concerns. The identification and molecular characterization of such mutants derived from untagged forward genetics approaches was limited previously by the tedious and time-consuming methods involving techniques such as classical meiotic mapping. The combination of mapping with next generation sequencing technologies offers alternative strategies to identify genes involved in high light adaptation in untagged mutants. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 1 | <1% |
| Czechia | 1 | <1% |
| Uruguay | 1 | <1% |
| Unknown | 115 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 28% |
| Researcher | 20 | 17% |
| Student > Bachelor | 15 | 13% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 14 | 12% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 41% |
| Biochemistry, Genetics and Molecular Biology | 35 | 29% |
| Computer Science | 3 | 3% |
| Engineering | 3 | 3% |
| Environmental Science | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 25 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 March 2020.
All research outputs
#6,788,331
of 22,793,427 outputs
Outputs from BMC Genomics
#3,072
of 10,648 outputs
Outputs of similar age
#93,804
of 352,151 outputs
Outputs of similar age from BMC Genomics
#79
of 242 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 70% 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 352,151 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 72% of its contemporaries.
We're also able to compare this research output to 242 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 66% of its contemporaries.