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Lung adenocarcinoma mimicking pulmonary fibrosis-a case report

Overview of attention for article published in BMC Cancer, September 2016
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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 (81st percentile)

Mentioned by

14 tweeters
1 Facebook page
1 Redditor


3 Dimensions

Readers on

12 Mendeley
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Lung adenocarcinoma mimicking pulmonary fibrosis-a case report
Published in
BMC Cancer, September 2016
DOI 10.1186/s12885-016-2763-6
Pubmed ID

Bakir Mehić, Lina Duranović Rayan, Nurija Bilalović, Danina Dohranović Tafro, Ilijaz Pilav


Lung cancer is usually presented with cough, dyspnea, pain and weight loss, which is overlapping with symptoms of other lung diseases such as pulmonary fibrosis. Pulmonary fibrosis shows characteristic reticular and nodular pattern, while lung cancers are mostly presented with infiltrative mass, thick-walled cavitations or a solitary nodule with spiculated borders. If the diagnosis is established based on clinical symptoms and CT findings, it would be a misapprehension. We report a case of lung adenocarcinoma whose symptoms as well as clinical images overlapped strongly with pulmonary fibrosis. The patient's non-productive cough, progressive dyspnea, restrictive pattern of pulmonary function test and CT scans (showing reticular interstitial opacities) were all indicative of pulmonary fibrosis. The patient underwent a treatment consisting of corticosteroids and antibiotics, to no avail. Histopathology of the lung showed that the patient suffered from mucinous adenocarcinoma. Albeit the immunohistochemical staining was not consistent with lung adenocarcinoma, tumor's morphological characteristics were consistent, and were used to make the definitive diagnosis. Given the fact that radiography cannot always make a clear-cut difference between pulmonary fibrosis and lung adenocarcinomas, and that clinical symptoms often overlap, histological examination should be considered as gold standard for diagnosis of lung adenocarcinoma.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 17%
Student > Doctoral Student 2 17%
Student > Master 2 17%
Student > Bachelor 2 17%
Lecturer 1 8%
Other 2 17%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 5 42%
Nursing and Health Professions 3 25%
Neuroscience 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 June 2022.
All research outputs
of 22,620,502 outputs
Outputs from BMC Cancer
of 8,224 outputs
Outputs of similar age
of 289,557 outputs
Outputs of similar age from BMC Cancer
of 1 outputs
Altmetric has tracked 22,620,502 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,224 research outputs from this source. They receive a mean Attention Score of 4.3. 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 289,557 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 81% 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