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X Demographics
Mendeley readers
Attention Score in Context
| Title |
pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH terms
|
|---|---|
| Published in |
BMC Bioinformatics, June 2020
|
| DOI | 10.1186/s12859-020-03583-6 |
| Pubmed ID | |
| Authors |
Zhi-Hui Luo, Meng-Wei Shi, Zhuang Yang, Hong-Yu Zhang, Zhen-Xia Chen |
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 % |
|---|---|---|
| India | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Professor | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 14 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 28% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Medicine and Dentistry | 2 | 5% |
| Environmental Science | 1 | 3% |
| Other | 7 | 18% |
| Unknown | 13 | 33% |
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 22 June 2020.
All research outputs
#14,287,221
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#4,575
of 7,387 outputs
Outputs of similar age
#215,669
of 400,093 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 137 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 34th percentile – i.e., 34% 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 400,093 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.