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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovering and Summarizing Relationships Between Chemicals, Genes, Proteins, and Diseases in PubChem
|
|---|---|
| Published in |
Research Metrics and Analytics (RMA), July 2021
|
| DOI | 10.3389/frma.2021.689059 |
| Pubmed ID | |
| Authors |
Leonid Zaslavsky, Tiejun Cheng, Asta Gindulyte, Siqian He, Sunghwan Kim, Qingliang Li, Paul Thiessen, Bo Yu, Evan E. Bolton |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 15% |
| Researcher | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Unknown | 9 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Computer Science | 1 | 8% |
| Chemistry | 1 | 8% |
| Unknown | 9 | 69% |
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 29 July 2021.
All research outputs
#17,423,136
of 26,335,402 outputs
Outputs from Research Metrics and Analytics (RMA)
#266
of 378 outputs
Outputs of similar age
#261,136
of 452,239 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#22
of 27 outputs
Altmetric has tracked 26,335,402 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 27th percentile – i.e., 27% 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 452,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.