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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Precision nutrition to reset virus-induced human metabolic reprogramming and dysregulation (HMRD) in long-COVID
|
|---|---|
| Published in |
npj Science of Food, March 2024
|
| DOI | 10.1038/s41538-024-00261-2 |
| Pubmed ID | |
| Authors |
A. Satyanarayan Naidu, Chin-Kun Wang, Pingfan Rao, Fabrizio Mancini, Roger A. Clemens, Aman Wirakartakusumah, Hui-Fang Chiu, Chi-Hua Yen, Sebastiano Porretta, Issac Mathai, Sreus A. G. Naidu |
X Demographics
The data shown below were collected from the profiles of 520 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 53 | 10% |
| Mexico | 32 | 6% |
| Canada | 13 | 3% |
| United Kingdom | 12 | 2% |
| Germany | 12 | 2% |
| Japan | 11 | 2% |
| Australia | 9 | 2% |
| Spain | 7 | 1% |
| France | 7 | 1% |
| Other | 58 | 11% |
| Unknown | 306 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 467 | 90% |
| Practitioners (doctors, other healthcare professionals) | 26 | 5% |
| Scientists | 23 | 4% |
| Science communicators (journalists, bloggers, editors) | 4 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Professor | 1 | 13% |
| Lecturer | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Nursing and Health Professions | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 266. 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 14 May 2024.
All research outputs
#139,799
of 25,909,281 outputs
Outputs from npj Science of Food
#8
of 222 outputs
Outputs of similar age
#1,780
of 315,821 outputs
Outputs of similar age from npj Science of Food
#1
of 10 outputs
Altmetric has tracked 25,909,281 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.1. This one has done particularly well, scoring higher than 96% 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 315,821 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 99% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them