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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Syndrome Differentiation and Treatment Regularity in Traditional Chinese Medicine for Type 2 Diabetes: A Text Mining Analysis
|
|---|---|
| Published in |
Frontiers in endocrinology, December 2021
|
| DOI | 10.3389/fendo.2021.728032 |
| Pubmed ID | |
| Authors |
Zhili Dou, Ye Xia, Jiawei Zhang, Yizhen Li, Yunan Zhang, Lei Zhao, Zhe Huang, Haonan Sun, Lin Wu, Dongran Han, Yixing Liu |
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 % |
|---|---|---|
| Spain | 1 | 20% |
| France | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Researcher | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 22 | 73% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 22 | 73% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 December 2023.
All research outputs
#14,907,122
of 26,179,045 outputs
Outputs from Frontiers in endocrinology
#2,949
of 13,379 outputs
Outputs of similar age
#223,474
of 527,987 outputs
Outputs of similar age from Frontiers in endocrinology
#131
of 552 outputs
Altmetric has tracked 26,179,045 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 77% 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 527,987 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 57% of its contemporaries.
We're also able to compare this research output to 552 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.