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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prioritizing candidate diseases-related metabolites based on literature and functional similarity
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3127-4 |
| Pubmed ID | |
| Authors |
Yongtian Wang, Liran Juan, Jiajie Peng, Tianyi Zang, Yadong Wang |
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 % |
|---|---|---|
| United States | 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Student > Master | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Postgraduate | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 23% |
| Agricultural and Biological Sciences | 4 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 February 2022.
All research outputs
#15,530,583
of 23,081,466 outputs
Outputs from BMC Bioinformatics
#5,408
of 7,323 outputs
Outputs of similar age
#275,199
of 457,964 outputs
Outputs of similar age from BMC Bioinformatics
#152
of 239 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,323 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 457,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.