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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gastrointestinal symptoms of long COVID-19 related to the ectopic colonization of specific bacteria that move between the upper and lower alimentary tract and alterations in serum metabolites
|
|---|---|
| Published in |
BMC Medicine, July 2023
|
| DOI | 10.1186/s12916-023-02972-x |
| Pubmed ID | |
| Authors |
Deyu Zhang, Siyuan Weng, Chuanchao Xia, Yuqing Ren, Zaoqu Liu, Yudi Xu, Xiaoli Yang, Ruhao Wu, Lisi Peng, Liqi Sun, Jiaqi Zhu, Xuesong Liang, Yin Jia, Huaizhou Wang, Qian Chen, Dongtian Liu, Yi Chen, Honglei Guo, Xinwei Han, Zhendong Jin, Cui Chen, Xia Yang, Zhaoshen Li, Haojie Huang |
X Demographics
The data shown below were collected from the profiles of 37 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 | 3 | 8% |
| United States | 3 | 8% |
| United Kingdom | 2 | 5% |
| France | 1 | 3% |
| Unknown | 28 | 76% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 84% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Scientists | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 20% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Student > Master | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 20% |
| Business, Management and Accounting | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 06 November 2023.
All research outputs
#1,519,608
of 25,888,937 outputs
Outputs from BMC Medicine
#1,068
of 4,106 outputs
Outputs of similar age
#27,668
of 367,676 outputs
Outputs of similar age from BMC Medicine
#26
of 130 outputs
Altmetric has tracked 25,888,937 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,106 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.1. This one has gotten more attention than average, scoring higher than 73% 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 367,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.