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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-resolution genome-wide scan of genes, gene-networks and cellular systems impacting the yeast ionome
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| DOI | 10.1186/1471-2164-13-623 |
| Pubmed ID | |
| Authors |
Danni Yu, John M C Danku, Ivan Baxter, Sungjin Kim, Olena K Vatamaniuk, Olga Vitek, Mourad Ouzzani, David E Salt |
| Abstract |
To balance the demand for uptake of essential elements with their potential toxicity living cells have complex regulatory mechanisms. Here, we describe a genome-wide screen to identify genes that impact the elemental composition ('ionome') of yeast Saccharomyces cerevisiae. Using inductively coupled plasma - mass spectrometry (ICP-MS) we quantify Ca, Cd, Co, Cu, Fe, K, Mg, Mn, Mo, Na, Ni, P, S and Zn in 11890 mutant strains, including 4940 haploid and 1127 diploid deletion strains, and 5798 over expression strains. |
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 % |
|---|---|---|
| Peru | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Canada | 1 | 1% |
| Slovenia | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 81 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 24 | 28% |
| Professor > Associate Professor | 4 | 5% |
| Student > Bachelor | 3 | 3% |
| Professor | 3 | 3% |
| Other | 14 | 16% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 47% |
| Biochemistry, Genetics and Molecular Biology | 19 | 22% |
| Medicine and Dentistry | 3 | 3% |
| Environmental Science | 2 | 2% |
| Psychology | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 October 2022.
All research outputs
#6,370,974
of 23,509,982 outputs
Outputs from BMC Genomics
#2,690
of 10,786 outputs
Outputs of similar age
#45,762
of 180,736 outputs
Outputs of similar age from BMC Genomics
#39
of 146 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,786 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 74% 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 180,736 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 74% of its contemporaries.
We're also able to compare this research output to 146 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 71% of its contemporaries.