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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining
|
|---|---|
| Published in |
BMC Bioinformatics, October 2020
|
| DOI | 10.1186/s12859-020-03786-x |
| Pubmed ID | |
| Authors |
Dandan Liang, Quan Liu, Kejun Zhou, Wei Jia, Guoxiang Xie, Tianlu Chen |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 6 | 11% |
| Professor > Associate Professor | 4 | 7% |
| Lecturer | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 18% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Chemistry | 6 | 11% |
| Computer Science | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 16 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 October 2020.
All research outputs
#14,574,276
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#4,835
of 7,387 outputs
Outputs of similar age
#228,726
of 415,677 outputs
Outputs of similar age from BMC Bioinformatics
#121
of 181 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 30th percentile – i.e., 30% 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 415,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.