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X Demographics
Mendeley readers
Attention Score in Context
Title |
System-level analysis of metabolic trade-offs during anaerobic photoheterotrophic growth in Rhodopseudomonas palustris
|
---|---|
Published in |
BMC Bioinformatics, May 2019
|
DOI | 10.1186/s12859-019-2844-z |
Pubmed ID | |
Authors |
Ali Navid, Yongqin Jiao, Sergio Ernesto Wong, Jennifer Pett-Ridge |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
Netherlands | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 89% |
Members of the public | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 25% |
Researcher | 6 | 12% |
Student > Bachelor | 4 | 8% |
Student > Postgraduate | 3 | 6% |
Student > Master | 3 | 6% |
Other | 5 | 10% |
Unknown | 17 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 18% |
Chemical Engineering | 6 | 12% |
Engineering | 6 | 12% |
Agricultural and Biological Sciences | 4 | 8% |
Computer Science | 1 | 2% |
Other | 3 | 6% |
Unknown | 22 | 43% |
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 May 2019.
All research outputs
#6,149,304
of 23,146,350 outputs
Outputs from BMC Bioinformatics
#2,279
of 7,339 outputs
Outputs of similar age
#112,649
of 350,863 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 205 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 68% 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 350,863 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 67% of its contemporaries.
We're also able to compare this research output to 205 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 64% of its contemporaries.