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Diagnosis of pulmonary tuberculosis via identification of core genes and pathways utilizing blood transcriptional signatures: a multicohort analysis

Overview of attention for article published in Respiratory Research, May 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters

Readers on

mendeley
2 Mendeley
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Title
Diagnosis of pulmonary tuberculosis via identification of core genes and pathways utilizing blood transcriptional signatures: a multicohort analysis
Published in
Respiratory Research, May 2022
DOI 10.1186/s12931-022-02035-4
Pubmed ID
Authors

Qian Qiu, Anzhou Peng, Yanlin Zhao, Dongxin Liu, Chunfa Liu, Shi Qiu, Jinhong Xu, Hongguang Cheng, Wei Xiong, Yaokai Chen

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 50%
Researcher 1 50%
Readers by discipline Count As %
Medicine and Dentistry 2 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 June 2022.
All research outputs
#2,250,486
of 21,756,717 outputs
Outputs from Respiratory Research
#240
of 2,606 outputs
Outputs of similar age
#45,337
of 336,354 outputs
Outputs of similar age from Respiratory Research
#1
of 1 outputs
Altmetric has tracked 21,756,717 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,606 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 90% 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 336,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1 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