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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-Content, Image-Based Screening for Drug Targets in Yeast
|
|---|---|
| Published in |
PLOS ONE, April 2010
|
| DOI | 10.1371/journal.pone.0010177 |
| Pubmed ID | |
| Authors |
Shinsuke Ohnuki, Satomi Oka, Satoru Nogami, Yoshikazu Ohya |
| Abstract |
Drug discovery and development are predicated on elucidation of the potential mechanisms of action and cellular targets of candidate chemical compounds. Recent advances in high-content imaging techniques allow simultaneous analysis of a range of cellular events. In this study, we propose a novel strategy to identify drug targets by combining genetic screening and high-content imaging in yeast. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Germany | 1 | 2% |
| Italy | 1 | 2% |
| New Zealand | 1 | 2% |
| Spain | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 59 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Ph. D. Student | 14 | 22% |
| Student > Master | 9 | 14% |
| Other | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 55% |
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Engineering | 7 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Physics and Astronomy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 12% |
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 15 September 2023.
All research outputs
#7,051,900
of 24,535,155 outputs
Outputs from PLOS ONE
#93,161
of 211,934 outputs
Outputs of similar age
#32,092
of 99,123 outputs
Outputs of similar age from PLOS ONE
#348
of 724 outputs
Altmetric has tracked 24,535,155 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 211,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 54% 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 99,123 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 65% of its contemporaries.
We're also able to compare this research output to 724 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.